SQL: Write complex queries (e.g., second highest salary, window functions, joins, performance tuning).
Python: Data processing with pandas, exception handling, lambda/map/filter, file handling.
ADF: Pipeline creation, triggers, parameterization, incremental load, error handling.
Data Lake: ADLS Gen1 vs Gen2, folder structure, security, access.
Databricks: Delta Lake, notebooks, schema enforcement, performance tuning.
Walk me through your recent data engineering project.