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

Modern data engineering revolves around automation, reliability, and scalability. Writing an ETL script in Python is only the beginning. To transform that script into a production-grade data pipeline, you need orchestration, scheduling, monitoring, and error handling. This is where Apache Airflow shines. Apache Airflow is one of the most popular workflow orchestration tools in data engineering. It allows you to define, schedule, and monitor workflows programmatically using Python. Instead of man