ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Nikhil Chandrasekhar
January 10, 2026
17 hours (approximately)
Nikhil Chandrasekhar's account is verified. Coursera certifies their successful completion of ETL and Data Pipelines with Shell, Airflow and Kafka
What you will learn
Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes.
Explain batch vs concurrent modes of execution.
Implement ETL workflow through bash and Python functions.
Describe data pipeline components, processes, tools, and technologies.
Skills you will gain
- Category: Data Mart
- Category: Shell Script
- Category: Bash (Scripting Language)
- Category: Data Warehousing
- Category: Data Pipelines
- Category: Data Processing
- Category: Data Integration
- Category: Data Lakes
- Category: Apache Airflow
- Category: Performance Tuning
- Category: Extract, Transform, Load
- Category: Data Cleansing

