| 09:00-09:30 |
Airflow at the heart of Equifax's Data Processingby Yuvaraj Sankaran |
| 09:30-10:00 |
Airflow as a Platform: Operating High-Volume, Enterprise-Scale Orchestrationby Pavan Kumar Naikal, Jason Housman & Suchira Karusala |
| 11:00-11:30 |
Stabilizing LinkedIn Continuous Deployment on Airflowby Wensi Hu & Pooja Pal |
| 11:30-12:20 |
Agentic Pipelines on Airflow: From Thesis to Productionby Vikram Koka, Jed Cunningham & Kaxil Naik |
| 13:30-14:00 |
850 Engineering Hours Back, Every Month: Context-Aware Agentic Airflow Platform at Wixby Yarden Wolf |
| 14:00-14:30 |
Scaling to 1,000 DAGs: Idelic/Descartes's Blueprint for Airflow Automation and Reliabilityby Matthew Stavinga, Ray Carroll & Matt McCormack |
| 14:30-15:00 |
Self-Service DAGs: Event-Driven Design for GitHub Actions and Airflow at Lyftby Ken Obata |
| 15:00-15:30 |
Dynamic graphs - Airflow for agentic workflowsby Ash Berlin-Taylor |
| 16:00-16:30 |
Stop Being the Dag Bottleneck: How to Scale Airflow Orchestration Beyond Your Engineering Teamby Yetunde Dada & Jeremy Beard |
| 16:30-17:00 |
It Works! Now What? Fast Iteration for AI Capabilities in Airflowby Alex Guglielmone |
| 17:00-17:30 |
Resumable Task Execution for Long Running Tasks such as Sparkby Amogh Desai |
| 17:30-18:00 |
One Codebase, Many Distributions: Airflow’s Modular Approachby Jarek Potiuk & Amogh Desai |