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adls

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Azure-oriented geospatial data platform standardizing Canadian climate, hydrometric, wildfire, and disaster datasets into validated spatial risk products for Alberta and British Columbia, with Snowflake, dbt, Power BI, and MapLibre GL.

  • Updated Aug 30, 2026
  • Python

End-to-end Azure Lakehouse + Operational Analytics demo with IaC (Bicep/ARM), secure data landing (ADLS, Fabric, Synapse), and can’t-mess-it-up automation (Cosmos upserts + DevOps). Scales with skills, satisfies auditors, and proves automation can be boringly reliable (that’s the point). Runs cleanly every time ... even under interview pressure.

  • Updated Sep 8, 2025
  • Bicep

This project demonstrates a complete, real-world implementation of a modern data engineering pipeline using the Azure cloud ecosystem. Built around the AdventureWorks dataset, the pipeline follows the Medallion Architecture (Bronze → Silver → Gold), enabling structured data refinement from raw ingestion to business-ready insights.

  • Updated Jun 30, 2025
  • Jupyter Notebook

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