Data Engineering With Python, Sql, Spark & Airflow
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 27h 45m | Size: 25.27 GB
Build ETL pipelines with Python, SQL, PySpark, Airflow, Docker & Cloud through hands-on projects
What you'll learn
Build end-to-end data pipelines using Python, SQL, PostgreSQL, ETL/ELT workflows, and practical data engineering techniques.
Process and transform real-world datasets with Python, Pandas, NumPy, and PySpark, including large datasets with 1M+ records.
Design databases and data models, write advanced SQL queries, optimize performance, and create analytics-ready datasets.
Automate data pipelines using Docker and Airflow, work with cloud storage...