Data Eng Pipeline

Use when a data-engineering ask should be driven end-to-end as a first-class lane — build the warehouse dbt models, mine the stored procedures into a data dictionary, design the Airflow pipeline — faster than the full architect-team-pipeline but with the same rigor where it matters. A sibling orchestrator playbook (like bug-fix-pipeline) whose phases D−1 through D8 reuse the main pipeline's structural points rather than duplicating them; D0 dispatches data-engineering-exploration verbatim (the lane is its third caller), D2–D6 run Phases 2–6 verbatim (the full evidence stack), and the two new disciplines are the D−1 warm-catalog-first check (query the Run A knowledge serve…