Data Engineering fundamentals covering ETL Pipelines, Data Warehousing, Apache Spark, Batch vs Streaming Processing, and Data Engineering Architecture.
Keeping concepts simple and visual helps me revise quickly, strengthen the fundamentals, and connect them with real-world data engineering scenarios.




