The New Data Engineering Stack: AIRO, Airflow, and Claude(EMEA)

What if a production-grade data pipeline took minutes to design, not weeks?

Every data leader knows the hidden cost: a "simple" pipeline request turns into weeks of stitching together ingestion, transformation logic, and Airflow orchestration — then bolting on the DataOps work nobody budgets for: schema drift handling, retries, alerting, monitoring, recovery. By the time it's production-ready, it's consumed a sprint and still needs constant care.

This session shows a different way. AIRO turns Claude Code into an AI-native data engineering environment that goes beyond code generation — from a single prompt, it designs and builds complete pipelines: ingestion from apps, databases, APIs, files, and streaming sources; transformation logic; Airflow orchestration; and the operational guardrails that separate a demo from something you'd trust in production.

Critically, AIRO doesn't stop at the happy path. It automatically incorporates data quality validation, schema drift handling, exception management, alerting, and observability — so what ships is resilient and governable by default, not just functional.

You'll watch an engineer stay entirely inside Claude Code while AIRO orchestrates workflows, dependencies, and operational controls — combining Workato's reach with Airflow's rigor. No stitching together a dozen tools. No thousands of lines of boilerplate. Just business intent in, robust and resilient production pipeline out.

What will you learn?

• Working with AIRO from Claude/Cursor
• Building resilient data pipelines
• Setting up Airflow orchestration
• AI powered Data Ops
• How to get your hands on AIRO

Join us on 23rd July to watch a live, step-by-step walkthrough of how modern AI-powered data engineering works in practice.