Implementation Readiness & Deployment Assurance Checklist

The implementation checklist serves as a rigorous readiness framework designed to ensure that the canonical data model, associated metadata structures, and automated code-generation pipelines are deployed consistently and accurately across client environments. It provides a structured, end-to-end view of all prerequisites—spanning source-system understanding, metadata preparation, data quality governance, lineage instrumentation, and automation configuration—required before initiating full-scale ETL development. Given that the solution operates on an insert-only, metadata-driven architecture using a supported tech stack, this checklist acts as the formal validation mechanism that all upstream dependencies are understood, documented, and operational before code execution begins.

  • ☐ Source system documentation collected and analyzed
  • ☐ All source entities and attributes identified
  • ☐ Interface Mapping Document created and reviewed
  • ☐ Data quality rules defined and documented
  • ☐ PII attributes identified and classified
  • ☐ Business sign-off obtained on mappings
  • ☐ Metadata tables created (all 10+ tables)
  • ☐ All metadata tables populated with complete data
  • ☐ Metadata completeness validated (no referential integrity errors)
  • ☐ Code generator configured and tested
  • ☐ LDZ ingestion code generated
  • ☐ RDV transformation code generated
  • ☐ Data quality validation code generated
  • ☐ Lineage capture code generated
  • ☐ Job orchestration generated
  • ☐ Generated code reviewed for correctness
  • ☐ Sample data transformation tested
  • ☐ Data quality validations verified
  • ☐ Lineage capture verified
  • ☐ All documentation completed and version controlled
  • ☐ Team trained on generated code and processes
  • ☐ Ready to proceed to Phase 2 (ETL Development)