I will build microsoft fabric lakehouse etl pipelines for sql and power bi
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Sobre este Serviço
Need to automate SQL, Excel, or business data reporting with Microsoft Fabric?
I will build a professional Microsoft Fabric Lakehouse and automated ETL pipelines to transform raw business data into clean, reliable, Power BI-ready datasets.
MY SERVICES INCLUDE:
- Microsoft Fabric Lakehouse and OneLake setup
- Data Factory ETL/ELT pipeline development
- SQL Server, Excel, CSV and API data integration
- Bronze, Silver and Gold Medallion architecture
- Dataflows Gen2, SQL and PySpark transformations
- Data cleaning, mapping and deduplication
- Automated pipeline scheduling and refresh
- Power BI data preparation and integration
- ETL troubleshooting and optimization
WHY CHOOSE MY SERVICE?
I focus on reliable automation, organized data architecture, clear documentation and solutions tailored to your business requirements.
Whether you need a simple SQL-to-Fabric pipeline or a complete end-to-end Lakehouse workflow, I can help.
Message me before ordering to discuss your data sources and project scope.
Tecnologia:
Apache Kafka
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apache spark
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Excel
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Python
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Powershell
Meu portfólio
Perguntas frequentes
Can you connect SQL Server to Microsoft Fabric?
Yes. I can configure supported SQL Server connections, ingest data, and prepare datasets for analytics and reporting.
Can you automate Excel files into a Fabric Lakehouse?
Yes. I can build automated workflows for importing, cleaning, and transforming Excel data.
Do you build Bronze, Silver, and Gold data layers?
Yes. I can implement Medallion architecture to organize raw, cleaned, and reporting-ready datasets.
Can you integrate Power BI with Microsoft Fabric?
Yes. I can prepare and connect datasets for Power BI reporting. Full dashboard creation can be quoted separately
Can you repair existing ETL pipelines?
Yes. I can troubleshoot pipeline failures, refresh issues, transformations, and data mapping errors.
Do you work with Dataflows Gen2 and PySpark?
Yes. Depending on project requirements, I can use Dataflows Gen2, SQL, and PySpark notebooks.
Do you provide documentation?
Yes. Each package includes documentation appropriate to the project scope.

