Be a Data Quality Assurance Engineer — Build a strong foundation in ETL, Data Warehousing, and testing for data quality. What you will Learn? 1. Understand ETL & Data Warehouse fundamentals with real-world business case examples. 2. Build a complete ETL pipeline using Pentaho Data Integration from scratch. 3. Design effective ETL test scenarios using SQL queries for data quality validation. 4. Understand the scope of ETL testing at each layer of the pipeline with practical examples 5. Learn Slowly Changing Dimensions and how to test them in ETL workflows. 6. Explore ETL vs ELT architectures and when to use each in modern data stacks. 7. Discover why data quality testing is critical before using data to train LLMs and AI models.