SDMX ingestion for statistical data warehouses: reproducible datasets, metadata history, and exported codelists in an append-only structure.
🎯Dynamic Table Lab 1: Implement Basic Dynamic Table with Incremental Refresh
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.
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.
Incremental refresh solution for Microsoft Fabric dataflows with advanced bucketing, retry mechanisms, and CI/CD support
Convert SDMX datasets into stable, append-only CSV files with versioned metadata for easy, repeatable warehouse refreshes and governance.
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