Databricks framework to validate Data Quality of pySpark DataFrames and Tables
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Updated
Aug 15, 2026 - Python
Databricks framework to validate Data Quality of pySpark DataFrames and Tables
End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.
Automated migrations to Unity Catalog
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Open-source community study guide for all six Databricks certifications (Data Engineer Associate / Professional, Data Analyst Associate, ML Associate / Professional, GenAI Engineer Associate). Aligned to the 2025-2026 official exam guides. Obsidian-flavoured Markdown; PRs welcome.
How to Configure Azure Databricks Unity Catalog using Terraform
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Per-user Genie DBU usage dashboard for Databricks — safe to share account-wide without exposing billing system tables. Deploy anywhere in two commands.
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