Monitor data quality with Great Expectations — advanced edition
Sets up Great Expectations tests. Advanced edition — assumes production experience, pushes frontier patterns, references RFCs and library source.
Premium AI prompt library for data engineers. Covers ETL/ELT pipelines, dbt models, Airflow DAGs, warehouse modeling, and data quality grounded in Fundamentals of Data Engineering and The Data Warehouse Toolkit.
Sets up Great Expectations tests. Advanced edition — assumes production experience, pushes frontier patterns, references RFCs and library source.
Diagnoses a stuck Airflow task. Masterclass edition — cites canonical engineers and surfaces 3 anti-patterns most devs miss.
Creates reusable dbt macros. Fast edition — time-boxed to 30 minutes with the highest-leverage fix first.
Diagnoses a stuck Airflow task. Fast edition — time-boxed to 30 minutes with the highest-leverage fix first.
Creates reusable dbt macros.
Diagnoses a stuck Airflow task. Budget edition — free tier and open-source only, trade-offs named honestly.
Clone any prompt, customize it with variables, and test across ChatGPT, Claude, and Gemini. Free forever on the starter plan.