Data Quality Pipeline Lab v0.1.0

Highlights

• Reproducible PySpark data-quality pipeline using synthetic fixtures.
• Contract validation, required quality rules, rejected-row evidence and monetary reconciliation.
• Deterministic demo execution with independent Parquet outputs.
• Locked uv environment with Ruff, mypy, 17 tests, package build and GitHub Actions CI.
• CI dependencies pinned to immutable commit SHAs.