Mastering data ingestion with Apache Airflow: How to build reliable Pipelines
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Agenda
Modern data teams rely on Apache Airflow to orchestrate complex workflows across analytics, applications, and AI systems. But orchestration alone does not solve one of the biggest operational challenges: reliable data ingestion.
In this live session, we explore how integrating Hevo directly into Airflow workflows creates a reliable foundation for modern ELT pipelines. Through native operators, sensors, and triggers, teams can orchestrate ingestion, monitor pipeline health, and ensure downstream analytics and AI workloads always run on trusted data.
What you'll learn
Trigger and orchestrate Hevo pipelines directly from Airflow DAGs using native operators
Monitor ingestion jobs with sensors that ensure downstream tasks run only when data is ready
Use asynchronous triggers to track long-running syncs without blocking Airflow workers
Build end-to-end workflows that connect ingestion, warehouses, and AI workloads reliably
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