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.