This is a complete local data engineering stack that implements medallion architecture using Docker Compose. You get MinIO for object storage, Airbyte for ingestion, PostgreSQL as your warehouse, DBT for transformations across bronze/silver/gold layers, and Airflow for orchestration. The repo includes a Makefile with commands for everything from `make dbt-run` to `make trigger-dag`, plus Grafana dashboards for monitoring. It's genuinely end-to-end, meaning you can clone it, run `make setup && make start`, and have a working ELT pipeline with data quality tests and SCD Type 2 snapshots. Best for learning the full data engineering workflow locally or prototyping pipelines before moving to cloud infrastructure. The DBT models show realistic patterns like deduplication and profit margin calculations.
npx -y skills add aradotso/data-skills --skill data-engineering-medallion-pipeline --agent claude-codeInstalls into .claude/skills of the current project.
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