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
Tomas Peluritis | 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.