Julia Lu
Software Engineer, Lyft
How Lyft Runs on Airflow: Scaling Orchestration Across Data, Finance, ML, and AI
Virtual Event • Sept 16 • 11AM–2PM ET
Orchestrate Everything
The Data Engineering Conference
ETL was the beginning, but orchestration continues to evolve. Hear first-hand from data engineers at leading companies shipping production AI workflows on Airflow.
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Anyone can demo AI.
The hard part is shipping it.
Join us September 16 for production stories from engineering leaders who've done it, learn hands-on tips for doing the same, and get a first look at where orchestration is going next.
Real Orchestration Stories
Hear from engineering teams running AI in production. No pilots, no prototypes.
Practical Orchestration Patterns
Learn practical orchestration patterns: from MLOps and AI inference to context engineering and what's coming next.
See What’s Next
Get a first look at what's new from Astronomer including features built for AI workloads at scale.
Live workshop
Get AI Certified with Airflow
Join Airflow expert Marc Lamberti, creator of Data with Marc, for a preparation crash course for the New Astronomer Certified AI Orchestration Fundamentals exam. Get your questions answered live, plus you'll get a discount code to take the certification for free ($150 value).
Save Your Spot Agenda
Speakers & Sessions
Ryan Stevens
Director of Applied Sciences, Ramp
How Ramp Orchestrates 100 ML Models using Apache Airflow
Sami Abboud
CTO & Co-Founder, Aampe (Now Part of MoEngage)
Millions of Agents, One Orchestrator: How Aampe (Now Part of MoEngage) Runs AI Decisioning on Airflow
Yarden Wolf
Data Engineer & AI Tech Lead, Wix
850 Engineering Hours Back Every Month: Building a Context-Aware Agentic Airflow Platform at Wix
Julian LaNeve
CTO, Astronomer
Orchestrate Everything: What's Next from Astronomer
More speakers and sessions to be announced shortly.
Join us September 16.
This event is for data engineers, platform teams, ML practitioners, and data leaders. Free to attend. Sessions available live and on-demand.
Limited time
First 50 registrants receive a free print edition of Practical Guide to Apache Airflow 3 by Tamara Fingerlin.
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FAQ
This event is designed for data engineers, platform teams, ML and MLOps practitioners, analytics engineers, architects, and data leaders who want to do more with data orchestration than traditional ETL and dashboards. Whether you’re scaling Airflow, building AI-powered applications, or driving business-critical data products, you’ll gain practical insights, real-world strategies, and a first look at what’s next with Astronomer.
This event is completely free to attend!
No – the content is valuable for anyone interested in modern data orchestration, AI, and building scalable data products, no Airflow expertise needed.
Yes! Sessions will be recorded and available on demand post event. Several sessions will be hosted live so we recommended joining the day of to get the full experience.
You’ll walk away with actionable strategies to operationalize AI and ML, build production-ready data products, and deliver real business outcomes — plus exclusive insights into the latest capabilities from Astronomer and the future of data orchestration.