Data Modeling Techniques: Proficiency in conceptual, logical, and physical data modeling techniques using methodologies like ER diagrams and normalization.
Data Warehousing: Knowledge of data warehousing concepts and architectures (lambda/kappa), including ETL (Extract, Transform, Load) processes.