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dataflow-gen2

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End-to-end Microsoft Fabric data engineering project using NYC Citi Bike public trip data. Covers Dataflow Gen2 ingestion, a Warehouse-based Gold star schema (stored procedures, MERGE, functions), a Direct Lake semantic model with advanced DAX, a Power BI dashboard, and full Dev→Prod CI/CD via Git integration and Deployment Pipelines.

  • Updated Jul 10, 2026
  • Power Query

End-to-end data engineering pipeline on Microsoft Fabric: Incremental watermark ingestion implemented from MySQL, PostgreSQL & Google Sheets through Bronze/Silver/Gold medallion architecture to a star schema warehouse, through the Dataflow Gen2.

  • Updated Jun 27, 2026
  • Jupyter Notebook

Retail & E-Commerce Sales Analysis built with Microsoft Fabric and Power BI. Includes Dataflow Gen2 ingestion, Lakehouse-based dbo/Silver/Gold layers, Fabric pipeline orchestration, semantic modeling, DAX, RLS, incremental refresh, scheduled refresh, and interactive business reporting.

  • Updated Mar 27, 2026
  • Jupyter Notebook

End-to-end HR attrition analytics solution built on Microsoft Fabric and Power BI from raw data ingestion through governed, interactive reporting. Uncovers key attrition drivers (overtime, travel, compensation, tenure) across a 1,470-employee dataset, with column-level security protecting sensitive payroll fields.

  • Updated Aug 8, 2026

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