Automating ETL Workflows with Apache Airflow: From Python Script to Scheduled Pipeline

📰 Dev.to · peter muriya

Learn to automate ETL workflows with Apache Airflow, transforming Python scripts into scheduled pipelines for efficient data engineering

intermediate Published 26 Apr 2026

Action Steps

Write a Python script for ETL tasks using Apache Airflow's API
Configure Airflow's DAG to schedule the ETL pipeline
Test the pipeline using Airflow's built-in testing features
Deploy the pipeline to a production environment using Airflow's deployment tools
Monitor and manage the pipeline using Airflow's web interface

Who Needs to Know This

Data engineers and DevOps teams can benefit from automating ETL workflows, ensuring reliability and scalability in data processing

Key Insight

💡 Apache Airflow enables data engineers to automate ETL workflows, ensuring reliability and scalability in data processing