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azure-data-engineer

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This repository is a curated collection of Data Engineering and Analytics projects demonstrating proficiency in building end-to-end data solutions. It covers raw data ingestion, scalable ETL/ELT pipelines, medallion architecture, SQL & Python transformations, and analytics-ready datasets with Power BI and Tableau reporting.

  • Updated Feb 6, 2026

End-to-end Metadata-Driven Data Engineering framework built on Azure. Features dynamic SQL/REST API ingestion with range pagination, automated schema mapping, and event-driven orchestration. Implements robust CI/CD via GitHub Actions/YAML and automated failure alerting with Logic Apps. Optimized for scalability and DE best practices.

  • Updated Jan 16, 2026

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