| 10:00-10:30 |
Spec-Driven Development for Airflow DAGsby Kyle McCluskey |
| 10:30-11:00 |
Building storage analytics pipelines for cloud cost optimization with Airflowby Bao Nguyen |
| 11:30-12:00 |
Taming the MLOps Zoo: Orchestrating and Monitoring Models with Airflowby Lindy Bustabad |
| 12:00-12:30 |
Orchestrating Graph Database Workloads in Apache Airflow with Apache TinkerPopby Ahmad Farhan |
| 12:30-13:00 |
Event-Driven Orchestration Monitoring: Streaming Airflow Metadata to Kafka via CDCby Vipin Kataria |
| 13:00-13:30 |
From Cron to Assets: Event-Driven Drone Telemetry Ingestion with Airflowby Charles Adetiloye & Bryan Johns |
| 14:30-15:00 |
Orchestrating Streaming Data Pipelines with Airflow, Kafka, Spark, and Kubernetes on GCPby Karan Alang |
| 15:00-15:30 |
Declarative Pipelines Meet Declarative Orchestration: Spark Declarative Pipelines + Airflow 3by Lisa Cao & Andreas Neumann |
| 15:30-16:00 |
From Hours to Minutes: Orchestrating Local LLMs for Sensitive Data Pipelines with Apache Airflowby Chhayank Jain |
| 16:00-16:30 |
Building Blocks, not Factories: Abstractions that enable, not obscureby Collin McNulty |
| 09:10-10:00 |
From Experiments to Production: How We Built a Lightweight ML Platform on Airflowby Marion Azoulai |