Tomas Peluritis
Head of Data
Mediatech
Lithuania
About
Tomas Peluritis leads the data team at Mediatech and is the creator of Uncle Data, a newsletter and podcast for data engineers who value practical advice over hype. By day, he manages data pipelines that process over half a billion events; by night, he writes about lessons learned—often the hard way. When he’s not wrangling DAGs or mentoring his team, he’s likely optimizing a Magic: The Gathering deck. He is based in Vilnius.
Talk
Airflow Lessons They Don't Put in the Docs
Data Engineering, Airflow, Pipelines
You’ve deployed Airflow, your DAGs are running, and the basics are under control. But then reality hits: dynamic DAGs that bring your scheduler to its knees, sensors that quietly burn through resources, and a CloudWatch bill that rivals your compute costs.
This talk goes beyond the getting-started guides. We’ll cover dynamic DAG patterns that actually scale, when custom operators are worth the investment, and sensor anti-patterns that plague production systems. For teams running on AWS MWAA, we’ll dive into the undocumented pain points: CloudWatch metrics that silently drain your budget, version upgrade migrations that break in unexpected ways, and autoscaling behavior the docs don’t fully explain.
You’ll leave with practical patterns, cost-saving strategies, and a checklist for running Airflow in production without unexpected surprises.