Dbt

A comprehensive reference guide for dbt (data build tool) analytics engineering. It covers model organization using the medallion architecture (staging, intermediate, marts layers), testing strategies, documentation practices, incremental model patterns, and common dbt commands. Ideal for data engineers building transformation pipelines.

A comprehensive data engineering skill that teaches production-ready Apache Airflow DAG patterns including TaskFlow API, dynamic DAG generation, sensors, branching logic, and error handling. Also covers dbt transformation patterns, Spark optimization techniques, and data quality frameworks with Great Expectations.