SDMX ingestion for statistical data warehouses: reproducible datasets, metadata history, and exported codelists in an append-only structure.
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.
🎯Dynamic Table Lab 1: Implement Basic Dynamic Table with Incremental Refresh
Convert SDMX datasets into stable, append-only CSV files with versioned metadata for easy, repeatable warehouse refreshes and governance.
This project involved end-to-end implementation of a Power BI reporting solution integrated with PostgreSQL, Power BI Service, and an On-Premises Data Gateway. It covered database connectivity, semantic modeling, incremental refresh, scheduled refresh, cloud publishing, and enterprise-style troubleshooting.
Incremental refresh solution for Microsoft Fabric dataflows with advanced bucketing, retry mechanisms, and CI/CD support
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