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$50 USD / hora
Bandera de PERU
arequipa, peru
$50 USD / hora
Aquí son las 8:48 a. m.
Se unió el enero 18, 2016
1 Recomendación

Yordan B.

@ybautista

 4,9 (29 comentarios)
6,4
6,4
88%
88%
$50 USD / hora
Bandera de PERU
arequipa, peru
$50 USD / hora
100 %
Trabajos finalizados
100 %
Dentro del presupuesto
100 %
A tiempo
29 %
Tasa de recontratación

Python Developer | Django Backend Developer

I develop software you can use to get the most out of your data, by pulling it out from your data sources, and putting it in a format ready for analysis: Data Warehouse, Hadoop data lake, and AWS S3 buckets. Experience, Skills & interests: [3+ yrs] - Developed expertise building large-scale web scraping solutions using Python (Beautiful Soup, Selenium/Chrome headless), and Django/Celery/Redis stack as backend - Hands-on experience writing Python scripts for Algorithmic trading and financial data analysis (Pandas/Numpy/Ta-lib.) [4+ yrs] - Hands-on experience working on cloud integration projects Platforms: AWS/Microsoft Azure/Google Cloud - Strong command of object-oriented programming skills in Java [5+ yrs] - Substantial experience in Data Integration (ETL)/ Data Warehousing projects using Talend Open Studio - Proven skills in Transact-SQL as a server-side programming language for both on-premises SQL Server & Azure SQL Database.
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Portafolio

8645269
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
3105346
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
2973902
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
2973882
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
2987210
ETL Process: Load CSV files attached to emails into BigQuery (Big Data Integration) I developed an automated Java-based import solution that integrates Google Analytics reports delivered as CSV files attached to e-mails sent daily, and makes it available as BigQuery tables (Google Cloud), so Marketing users from a leading advertising agency (Ogilvy) can analyse campaign statistics and metrics. ETL process does the following: - Download e-mails sent on process date to specific e-mail recipient - Export attachments as CSV files - Upload files to a bucket in Google Cloud Storage - Create BigQuery's table schema based on columns from CSV, and insert records - Append new records if table already exist. * The solution was developed using Talend Open Studio for Big Data.
ETL Process: Load CSV files attached to emails into BigQuery
ETL Process: Load CSV files attached to emails into BigQuery (Big Data Integration) I developed an automated Java-based import solution that integrates Google Analytics reports delivered as CSV files attached to e-mails sent daily, and makes it available as BigQuery tables (Google Cloud), so Marketing users from a leading advertising agency (Ogilvy) can analyse campaign statistics and metrics. ETL process does the following: - Download e-mails sent on process date to specific e-mail recipient - Export attachments as CSV files - Upload files to a bucket in Google Cloud Storage - Create BigQuery's table schema based on columns from CSV, and insert records - Append new records if table already exist. * The solution was developed using Talend Open Studio for Big Data.
ETL Process: Load CSV files attached to emails into BigQuery
2973932
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
8645269
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
- Django web application comes with Admin site where users can set up Task's parameters. - Script Tasks are based on Selenium Chrome driver and they can launch Chrome browser instances in headless mode. - Script Tasks run in Asynchronous mode using Celery/Redis in the backend (they can run in parallel as well) - Django backend can be fully integrated with Cloud services such as AWS and Digital Ocean. - Admin site includes CRUD pages to maintain helper database tables. - Admin site also comes with a Task monitoring page to schedule and manage tasks. - Web application may also include frontend pages to upload XLS/CSV files (Drag and Drop)
Django website to manage web scraping/web automation tasks
3105346
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
The project is for a stock market screening and simulation program. It takes a set of user entered qualification rules about stock metadata, applies those rules to a master list of stocks to filter down to a set of qualifying stocks, then applies a set of user configured buy/sell rules to each of those stocks, and then outputs the result of the simulation for each stock individually and as a cumulative group. http://bit.ly/2gN3e6T * The solution was developed using Python 3.
Python: Stock Market Screener and Simulator Tool
2973902
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
ETL Process: Import CSV files into Azure SQL Database (Data Integration / Data Warehousing) My client wanted a process to integrate CSV files available in 2 different formats. Data files tracked loan commissions on a monthly basis, and were copied by user to folder location that would be monitored by ad-hoc program. I developed a Java-based ETL process(*) to monitor a folder for changes, parse and transform each CSV file, and load dimension and fact tables in data warehouse. Data warehouse database was deployed to the cloud using Azure SQL Database service as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Import CSV files into Azure SQL Database
2973882
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
ETL Process: Integrate Surveillance Sensor Data - Email attachments & FTP (Data Integration / Data Warehousing) My client wanted to integrate plain text files coming from 2 separate surveillance software platforms, where sensors and cameras are setup in doors of most stores located in Shopping Centers. Data files included hourly counts of people coming in and out of stores, and were delivered daily as e-mail attachments, or placed in FTP location. I developed Java-based ETL process(*) to extract text file attachments, or download them from FTP, parse and transform their proprietary format, and load dimension and fact tables in target data warehouse. Data warehouse database was deployed on premises using SQL Server as back-end. Now users are able to access the data warehouse using BI tools such as Power BI. * The solution was developed using Talend Open Studio for Data Integration.
ETL Process: Integrate Surveillance Sensor Data
2987210
ETL Process: Load CSV files attached to emails into BigQuery (Big Data Integration) I developed an automated Java-based import solution that integrates Google Analytics reports delivered as CSV files attached to e-mails sent daily, and makes it available as BigQuery tables (Google Cloud), so Marketing users from a leading advertising agency (Ogilvy) can analyse campaign statistics and metrics. ETL process does the following: - Download e-mails sent on process date to specific e-mail recipient - Export attachments as CSV files - Upload files to a bucket in Google Cloud Storage - Create BigQuery's table schema based on columns from CSV, and insert records - Append new records if table already exist. * The solution was developed using Talend Open Studio for Big Data.
ETL Process: Load CSV files attached to emails into BigQuery
ETL Process: Load CSV files attached to emails into BigQuery (Big Data Integration) I developed an automated Java-based import solution that integrates Google Analytics reports delivered as CSV files attached to e-mails sent daily, and makes it available as BigQuery tables (Google Cloud), so Marketing users from a leading advertising agency (Ogilvy) can analyse campaign statistics and metrics. ETL process does the following: - Download e-mails sent on process date to specific e-mail recipient - Export attachments as CSV files - Upload files to a bucket in Google Cloud Storage - Create BigQuery's table schema based on columns from CSV, and insert records - Append new records if table already exist. * The solution was developed using Talend Open Studio for Big Data.
ETL Process: Load CSV files attached to emails into BigQuery
2973932
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com
Webscraping - Match Results/Odds from oddsportal.com Script developed using Selenium/PhantomJS driver, and Beautiful Soup library.
Webscraping - Match Results/Odds from oddsportal.com

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5,0
€865,00 EUR
Terminar proyecto bot automatizado de apuestas. Servidor/Cliente
Lo recomiendo 100% Se nota la gran profesionalidad que hay detras y siempre atento en cada detalle. Sigo trabajando con él y siempre está cuando se le necesita.
PHP
Python
Data Entry
Web Scraping
Data Mining
G
Bandera de Julian M.
@gorrypeke
•
hace 4 años
5,0
£40,00 GBP
Project for Yordan B.
Excellent coder. He was very helpful with my complex project. I would highly recommend him.
Python
Excel
Web Scraping
Microsoft SQL Server
+1 más
L
Bandera de Lexi H.
@lexi321
•
hace 4 años
5,0
$170,00 USD
Scraping para descargar un archivo csv que se encuentra en un link
Excelente trabajo
PHP
Python
Excel
Web Scraping
Software Architecture
Avatar del usuario
Bandera de Biycloud L.
@parojas2
•
hace 5 años
3,6
$100,00 USD
Project for Yordan B.
Expertise
Python
Excel
Web Scraping
Microsoft SQL Server
+1 más
I
Bandera de Liliana L.
@icontronix
•
hace 5 años
5,0
$250,00 USD
Python Script for Financial Calculations
Yordan is a very thoughtful developer, as he focuses on all the details required to make your idea and software specifications work well in practice. He is an outstanding programmer, and manages time and effort very well. He also adds extra features when necessary to make the software perform better and his overall software architecture/design skills are excellent.
Python
Software Architecture
R Programming Language
PostgreSQL
W
Bandera de Keven H.
@webdevicecp
•
hace 5 años

Experiencia

Data Warehouse Developer

Pacsoft Australia Pty Ltd
dic 2011 - jun 2015 (3 años, 6 meses)
- Design of dimensional data models (star schema) - Design of physical databases for data warehouses - Design and development of ETL processes using Talend Open Studio for Data Integration - Development of T-SQL stored procedures and functions for BI reporting, custom SQL scripts for aggregates rebuild and bulk data load, as well as SQL views and queries (ad-hoc.) - Implementation, deployment and maintenance of DW/BI applications running on Amazon Web Services and Windows Azure infrastructure.

Analyst Programmer

Laboratorios AC Farma
feb 2007 - jul 2011 (4 años, 5 meses)
- Development of SSIS packages to allow integration between third-party Payroll system and SAP FI/CO modules for financial closing process. - Development of SSIS packages to extract and integrate sales and financial information from SAP SD and FI modules, and delivering it in an Excel workbook. - Process integration between in-house applications and SAP master and custom data through SSIS connections between SQL Server and SAP system.

Educación

Master of Technology (Internet & Web Computing)

RMIT University, Australia 2011 - 2012
(1 año)

Bachelors of Systems Engineering

Universidad Nacional de San Agustín, Peru 1999 - 2004
(5 años)

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Certificaciones

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Principales habilidades

Python 30
Web Scraping 26
Excel 21
JSON 18
Software Architecture 5

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