I will your data engineer for microsoft fabric and power bi
Turning Raw Data into Real Results
About this Gig
Struggling with messy spreadsheets, slow reporting, and manual work that wastes hours? Businesses lose valuable insights because their data isnt automated, clean, or connected. I solve this problem with powerful Data Engineering solutions built on Microsoft Fabric.
I design end-to-end data pipelines that automate ETL/ELT, unify SQL, APIs, Excel, and SharePoint, and handle everything from small files to complex big data. Your data becomes clean, reliable, and analytics-readyalways updated, always accurate.
Then I turn that data into beautiful, interactive Power BI dashboards that help you make smarter, faster business decisions.
Why choose me?
3+ years of real Data Engineering experience
Expert in Microsoft Fabric, Power BI, SQL, DAX & automation
Fast, scalable, production-ready solutions
Clear communication and business-focused results
I save you time, remove errors, and deliver insights that matter
Lets transform your data into a powerful engine for growth
FAQ
What data sources can you integrate?
I can integrate data from databases (SQL Server, MySQL, PostgreSQL, Oracle, etc.), cloud platforms (Azure, AWS, Google Cloud), APIs, Excel, CSV files, and more. Let me know your specific data sources, and I’ll confirm compatibility.
Will the ETL pipeline be automated?
Yes! I design fully automated ETL workflows that can run on a scheduled basis or in real time, reducing manual effort and ensuring up-to-date insights.
Will you provide documentation or training?
Yes! I can provide detailed documentation on how the ETL pipeline works, including step-by-step instructions and best practices. Training can also be arranged if needed.
What are ETL Pipelines in Microsoft Fabric?
ETL (Extract, Transform, Load) pipelines in Microsoft Fabric are workflows that automate the process of extracting data from sources, transforming it using tools like Spark Notebooks, and loading it into destinations such as Lakehouses or Data Warehouses.
