Explore the "dag Stack" - a robust data pipeline solution combining dbt, Airflow, and Great Expectations. Learn how to build a transformation layer with dbt, validate source data and add complex tests using Great Expectations, and orchestrate the entire pipeline with Apache Airflow. Discover practical examples of how these tools complement each other to ensure data quality, prevent "garbage in - garbage out" scenarios, and create comprehensive data documentation. Gain insights into automatic profiling, data testing, and validation techniques. Follow along with sample code demonstrations and technical pointers to implement this powerful stack in your own data engineering projects.