Data Engineer | Azure • AWS • GCP

Learn end-to-end Data Engineering using Azure, AWS, and GCP. This course covers data pipelines, ETL/ELT, cloud data warehouses, and real-world use cases to help you design scalable, production-ready data solutions.

Course Modules:

1. Introduction to Cloud Data Engineering
2. Data Lake vs Data Warehouse
3. Cloud Storage (Amazon S3, Azure ADLS, Google GCS)
4. ETL vs ELT
5. Batch Processing
6. Streaming Processing
7. Query Processing Engines
8. Data Modelling Basics
9. Data Pipeline Design
10. Introduction to Apache Spark
11. Introduction to Apache Airflow
12. Data Security & Best Practices
13. CI/CD & DevOps for Data Engineering
14. Interesting Data Engineering Knowledge & Use Cases