
1. Fundamentals of Data Engineering
2. Databases and Data Modelling
3. Data Pipelines and ETL Tools
4. Big Data Ecosystem
5. Data Warehousing and Lakehouse
6. Monitoring, Logging, and Data Quality
7. Data Governance and Security
8. Interview Preparation