Data Engineering with Apache Airflow

Apache Airflow is the backbone of reliable pipeline orchestration. I use it to design, schedule, and monitor complex data workflows across cloud environments — from batch ETL jobs processing hundreds of millions of events to real-time ingestion pipelines feeding analytics platforms. For clients dealing with fragile cron-based scheduling or manual pipeline management, Airflow introduces dependency-aware execution, retry logic, and full observability into every data movement.