Expert Data Engineer Needed

@Microlent

Hi, We have experience building data engineering and analytics solutions involving SQL Server, Python, ETL pipelines, Azure services, Power BI dashboards, and data warehouse architectures. Our team has worked on FinTech and SaaS platforms where we developed automated data pipelines, reporting systems, KPI dashboards, data validation processes, and scalable analytics workflows. Key expertise: • SQL Server (2012+), SSIS, SSRS, SSAS • Python (Pandas, NumPy, PyODBC) • Azure Data Services • Power BI Dashboard Development • Data Warehousing & Dimensional Modeling • ETL/ELT Pipeline Development • dbt, Airflow, and workflow automation • Data Quality, Governance & Security We can help design and optimize data pipelines, build reliable reporting solutions, improve data quality, and support business intelligence initiatives while ensuring scalability and performance. A few questions: 1. What is your current data stack (SQL Server, Azure, Fabric, etc.)? 2. Are the dashboards already defined, or do KPIs need to be developed? 3. Is this primarily a maintenance role or a new data platform initiative? Looking forward to discussing your requirements. Best regards, Microlent Team

@Herculesz

Hi I can help design, build, and maintain scalable data engineering solutions using MS SQL Server, SSIS, SSAS, SSRS, Power BI, Python, Azure, dbt, and Airflow/Dagster-style orchestration. My work would cover KPI dashboards, ELT pipelines, warehouse modeling, data marts, validation, cleansing, access controls, and automated reporting workflows. A key technical problem in this role is turning informal business requirements and inconsistent source data into reliable analytics-ready models without breaking data quality or performance. I would solve this by defining clear dimensional models, robust SQL/Python transformation logic, reusable validation checks, error handling, and monitored pipeline runs. I have experience with SQL optimization, Power BI reporting, Python libraries such as Pandas, NumPy, and PyODBC, and BI/DW lifecycle delivery from source analysis to dashboards. I can work closely with analysts, data scientists, and business teams to refine requirements, document metrics, and ensure reports match operational needs. My focus would be secure, governed, scalable data infrastructure that supports accurate KPIs, faster reporting, and easier future maintenance. Thanks, Hercules

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, SQL, Azure, Data Mining, Big Data Sales, Hadoop, Data Warehousing, Power BI, ETL, Apache Spark and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@usmanbashir12100

Hi, I understand you need a Data Engineer with strong experience in SQL Server, Microsoft BI Stack, Python, Azure, and modern data pipeline development to build scalable data solutions, optimize ELT processes, and deliver reliable analytics and reporting. I have experience working with data warehousing, ETL/ELT pipelines, SQL Server, Power BI, Python, Azure-based data platforms, and data modeling. I can help develop robust data workflows, improve data quality, automate reporting processes, and build scalable solutions that support both business intelligence and advanced analytics requirements. Available for a long-term engagement and ready to discuss your data architecture and project goals. Usman Bashir

@SamirBanna

I am very interested in applying for your job since it seems to fit very will with my experience and skills. Regards SamirBanna

@salesapple

Hi, I have experience working with data-driven applications and strong knowledge of SQL, Python, data pipelines, reporting, and database management. I can help build and optimize ETL/ELT processes, create dashboards and KPIs, ensure data quality, and develop scalable data solutions. I am comfortable working with cross-functional teams, understanding business requirements, and delivering reliable, high-quality results. I am committed to maintaining data accuracy, performance, and security. I would be happy to discuss how my experience can support your data engineering needs. Thanks.

@alizain721

You want reliable ELT pipelines and Power BI reports over MS SQL Server and Azure — that focus makes sense for driving repeatable insights, not just one-off dashboards. The real bottleneck I see is often data trust and deployment hygiene: pipelines that work in dev but fail silently in production, and models that don’t map cleanly to business KPIs. I built the analytics pipeline and coach dashboards for ProgramPro, turning raw check ins into weekly and monthly performance reports consumed by coaches and clients. My plan 1) Audit sources and sample data to map entities to a clean dimensional model 2) Implement ELT with dbt or SSIS plus Airflow for orchestration, with unit tests and data quality checks 3) Build SSAS/Power BI semantic layer and dashboards with row level security 4) Add monitoring, alerts, and CI for deployments What are your primary data sources and approximate daily row volumes? If you can share a sample schema or read only access to the SQL Server I will prepare a short architecture diagram and an initial ELT plan.

@Appworldz

Hi, Your stack aligns very closely with my experience across SQL Server, SSIS, SSAS, Power BI, Azure, Python, dbt, ETL/ELT pipelines, and enterprise data warehousing. I've built end to end data platforms covering ingestion, transformation, data quality controls, dimensional modeling, KPI reporting, and automated analytics workflows for business critical environments. What stands out is the mix of engineering and business understanding required. I enjoy translating vague business requirements into scalable data models and actionable dashboards while maintaining governance and performance standards. For this role, the advertised $8 to $15/hr is below market. A realistic rate for the required skill set is $20 to $35/hr. Sahanaj

@albertc1996

Hello, Your project aligns well with my experience in backend systems, data processing and business platform development I have worked on large scale ERP and CRM systems including Inventory management Accounting workflows Reporting systems BPM processes Real-time transactional systems Data synchronization between operational systems One of the key challenges I solved was dynamically synchronizing SCM generated invoices with inventory and accounting modules, where the system automatically detected inventory transactions, accounting entries, and related financial mappings. My technical stack includes SQL Server / PostgreSQL Python (Pandas, automation, APIs) ASP.NET Core ETL style backend workflows - Reporting and analytics systems Docker & Linux deployment I am comfortable building scalable data pipelines, integrating multiple systems, and creating clean backend architectures for analytics and reporting. While my primary background is backend engineering rather than traditional enterprise BI consulting I can contribute strongly to Data processing ETL workflows Data modeling Reporting APIs Automation pipelines Dashboard backends I focus on clean architecture, reliability and fast delivery I would be happy to discuss the project further

@emilesd617

Hi, I am a Data Engineer with 8 years of rich experience. I am familiar with SQL, Python, Azure, ETL Pipelines, Data Warehousing, Power BI, and Data Processing. For this project, the most important thing is building reliable and scalable data pipelines that ensure clean, accurate, and well-structured data for reporting and analytics. I can design and maintain ETL/ELT workflows, optimize SQL-based data models, implement data validation and quality checks, and support dashboarding and KPI reporting using Power BI. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@ashinnd84

Hello there, we are a team of Data Scientist and AI Automation Software developers. Please, send me a message to discuss the work and finish in no time. Thanks Ashish Kumar.

@slavkom1

Hi there, This is a broad data engineering role, but the key work is clear: reliable pipelines, clean warehouse models, and dashboards people can actually trust. I’ve worked with SQL Server, Python, ETL jobs, Power BI, Azure, and warehouse/reporting setups where bad source data and slow refreshes were the main pain points. I would start by checking the existing sources, refresh paths, data quality gaps, and reporting needs. Then I’d deliver: - SQL/Python ELT pipelines with validation and error handling - warehouse/data-mart models for reporting - Power BI KPI dashboards tied to agreed metrics - SSIS/SSAS or Azure/dbt/Airflow work where it fits - monitoring notes and fixes for slow or fragile jobs I’m available to start with a focused review and then take ownership of build tasks. Do you already have an existing SQL Server warehouse and Power BI reports, or would this start from raw source systems? Regards, Slavko

@AnhTVc

Hi there, I have strong experience in Data Engineering, ETL development, SQL optimization, data warehousing, and business intelligence solutions using SQL Server, Python, Azure, and Power BI ecosystems. My background includes designing scalable ELT and ETL pipelines, developing KPIs, dashboards, and reporting systems, implementing data validation and quality controls, and building warehouse models aligned with business requirements. I am experienced with SQL Server, SSIS, SSAS, Power BI, Python libraries including Pandas, NumPy, and PyODBC, as well as workflow orchestration and modern data stack tools such as Airflow, dbt, and cloud based data solutions. I can contribute independently to pipeline development, analytics infrastructure, reporting automation, performance tuning, governance, and secure data access controls while collaborating effectively with technical and business stakeholders. My focus is on building reliable, maintainable, and scalable data platforms that improve reporting accuracy, operational efficiency, and decision making. Kind regards,

@markupdudes

Hi, I’m excited about the opportunity to work as your Data Engineer. With over 4 years of experience in data engineering, ETL processes, and data warehousing, I have hands-on expertise with MS SQL Server, the Microsoft BI stack (SSIS, SSRS, SSAS, Power BI), and Python libraries like Pandas and PyODBC. I’m confident in designing and optimizing ELT pipelines, ensuring data quality and integrity, and implementing scalable data warehouses tailored to complex business requirements. I also bring experience with Azure and orchestration tools like Airflow and dbt, which aligns well with your needs for automation and performance monitoring. I’ll work closely with your teams to translate business needs into efficient data solutions and actionable dashboards. Let’s kick off by discussing your key priorities and current infrastructure timelines. I can begin delivering improvements within the first week. Could you share more about the current data infrastructure and any specific challenges you are facing with your ETL or reporting workflows? Best regards,

@KarthikTechCon

Hello, I'm Karthik, a Senior Data Engineer and Full-Stack Developer with 15+ years of experience in Data Warehousing, ETL/ELT Pipelines, Business Intelligence, and Analytics solutions. I have extensive experience with SQL Server, SSIS, SSAS, SSRS, Power BI, Python, Azure, Airflow, dbt, and data modeling. I can design scalable data pipelines, optimize data warehouses, build KPI dashboards, implement data quality controls, and automate reporting workflows. ✔ SQL Server, SSIS, SSRS, SSAS ✔ Power BI Dashboard Development ✔ Python (Pandas, NumPy, PyODBC) ✔ Azure Data Services ✔ ETL/ELT Pipeline Development ✔ Data Warehouse & Dimensional Modeling ✔ Airflow, dbt, Fabric ✔ Data Governance & Performance Optimization I can work independently, take ownership of data engineering initiatives, and collaborate effectively with business and technical stakeholders to deliver reliable, scalable solutions. Regards, Karthik 15+ Years Experience | Data Engineering | SQL Server | Power BI | Python

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have successfully completed projects where I designed and optimized scalable data pipelines and dashboards that efficiently handled large datasets, making data accessible and actionable for stakeholders. From my experience, the key to success in such projects is maintaining data quality and integrity throughout the entire ETL process. Approach: ⭕ I will design and build robust ELT pipelines using SQL, Python, and Azure tools. ⭕ Implement data warehouse modeling techniques tailored to your complex business requirements. ⭕ Develop KPIs, dashboards, and reporting solutions using Power BI and the Microsoft BI stack. ⭕ Automate workflows with Airflow or similar orchestration tools for scalability. ⭕ Ensure data security and compliance with access controls and validation processes. ❓ Could you please clarify the primary data sources and technologies currently in place? ❓ What are the key business metrics you want to focus on initially? I am confident in delivering high-quality, scalable data engineering solutions to meet and exceed your project goals. Looking forward to collaborating with you. Best regards, Nam

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations. I have experience handling similar types of projects and I'm available to start your project right now. I bring deep expertise in Python, SQL Server, Azure, ETL, Data Warehousing, Power BI, Data Mining, Apache Spark, and Big Data Solutions with over 10 years of experience. One of the key challenges in data engineering projects is building reliable, scalable pipelines while maintaining data quality and reporting accuracy. My approach is to implement robust ETL/ELT workflows, data validation processes, warehouse modeling, and automated reporting solutions that support both analytics and operational decision-making. I have hands-on experience with SQL Server, SSIS, SSAS, Power BI, Python (Pandas, NumPy, PyODBC), Azure data services, dashboard development, data marts, and performance optimization. I can also work with modern orchestration and transformation tools such as Airflow and dbt when required. I have a couple of quick questions. • What is your current data stack (SQL Server, Azure, Fabric, Airflow, dbt, etc.)? • Are there existing ETL pipelines and dashboards to maintain, or is this primarily new development work? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos.

@johibkhan

Hi, Recent AI Projects: https://www.freelancer.com/projects/html/Football/details https://www.freelancer.com/projects/api-developmet/Betfair-Automation-Bot-Development/reviews freelancer.com/projects/html/Emotionally-Intelligent-Web-App.html https://www.freelancer.com/projects/php/Powered-Data-Analysis-Web-App/reviews With a stellar track record in software development spanning nearly two decades, including stints with Avaya, Pramati, and CGI where I honed my skills in algorithms, system design and building high-performance, low-latency systems well-suited for complex real-time workloads. My technical repertoire encompasses trading solutions, fintech mobile apps, blockchain & DeFi trading and cybersecurity, all of which are predicated on efficient coding, performance optimization and, crucially for this role, data mining and analysis. I bring with me considerable experience in AI/ML - an increasingly vital component of modern data engineering - with skills like TensorFlow and PyTorch well-cultivated. My Python proficiency extends to libraries like Pandas, PyODBC and NumPy that finds direct applicability in SQL which I'm strong in as well. As your data engineer, I will build on these strengths to create impeccable data pipelines while ensuring quality and integrity every step of the way - a fundamental requirement for large-scale data analysis.

@EngrHamza3409

As a seasoned data professional with over 3 years of experience as a Data Scientist and Business Analyst, I have the skillset and expertise to excel in the role of your Data Engineer. My proficiency in Python and SQL, extensive experience with Microsoft BI stack including SSRS, SSAS, and Power BI coupled with my knack for designing and maintaining efficient data pipelines make me an asset to any data-driven team. I guarantee to optimize your data storage, processing, and analysis systems for maximum efficiency. One of my key strengths lies in my ability to distill complex business requirements into manageable data solutions. Throughout my career, I've successfully implemented various Warehouse modeling techniques catered to a range of businesses' needs. Moreover, my passion for automation and innovation ensures that I'll not only meet your current requirements but also uncover ways to automate and improve current workflows as well.