Data Engineering
Python | SQL | Airflow | Spark | Kafka | Data Pipelines
Course overview
Learn to build reliable data pipelines from ingestion through transformation, orchestration and monitoring, using hands-on project patterns.
Hands-on practiceReal-time projectsInterview preparationResume guidance
Topics covered
✓ Advanced SQL for data workflows
✓ Python for data engineering
✓ ETL and ELT fundamentals
✓ Data formats: CSV, JSON and Parquet
✓ Apache Airflow DAGs and scheduling
✓ Apache Spark fundamentals
✓ Kafka and event streaming concepts
✓ Data quality and validation
✓ Cloud storage and warehouse concepts
✓ Pipeline monitoring and capstone
Project work
- Orchestrated ETL pipeline
- Batch processing with Spark
- Streaming ingestion with Kafka
Potential career paths
Data Engineer · ETL Developer · Analytics Engineer
Roles and outcomes depend on your prior experience, practice and the opportunities available.