Data Pipelines That Don't Break at 3 AM
12 prompts for data engineers who are tired of brittle pipelines, missing data, and "it worked in staging."
What's Inside
- dbt Model Designer — Generates staging → intermediate → mart layer models with proper materializations and tests
- Airflow DAG Planner — Creates DAG structures with proper dependencies, retries, SLAs, and alerting
- Data Quality Framework — Generates Great Expectations / dbt tests for completeness, freshness, uniqueness, and business rules
- Schema Evolution Strategist — Plans backward-compatible schema changes with migration scripts
- Warehouse Cost Optimizer — Analyzes query patterns and recommends clustering, partitioning, and materialization changes
- + 7 more: CDC pattern selector, slowly changing dimensions handler, data lineage mapper, incremental model converter, reverse ETL designer, semantic layer builder, data mesh domain boundary definer