Azure Services
Data Storage: ADLS Gen2, Blob Storage.
Data Processing: Azure Data Factory (pipelines, linked services, triggers, integration runtime).
Databricks / Spark: PySpark transformations, Delta Lake features (time travel, vacuum, versioning).
SQL / Synapse Analytics: Stored procedures, partitioning, performance tuning.
Event/Streaming: Event Hub, Kafka basics.
🔹 Core Data Engineering
Data modeling (star vs snowflake).
ETL vs ELT approaches.
Slowly Changing Dimensions (SCD Type 1, Type 2).
Handling incremental loads.
Performance optimization in Spark & ADF.