Databricks framework to validate Data Quality of pySpark DataFrames and Tables
Automated migrations to Unity Catalog
Metadata driven Spark Declarative Pipelines framework for bronze/silver pipelines
Accelerates migrations to Databricks by automating key migration activities
Experimental labs projects
Baseline for Databricks Labs projects written in Python
Lightweight SQL execution wrapper only on top of Databricks SDK
Databricks Plugin for PyLint
Configuration-driven data engineering framework for Databricks. Onboard datasets in YAML, not Python. Typed config validated up front, five write verbs (append, full, upsert, SCD2, complete-delta)
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