Session
Agentic Data Engineering with Genie Code
Overview
| Experience | In Person, Virtual |
|---|---|
| Track | Data Engineering & Streaming |
| Industry | Enterprise Technology |
| Technologies | Lakeflow, Databricks Agents, Genie |
| Skill Level | Beginner |
Genie Code is an autonomous AI partner for data work, with depth across the data engineering lifecycle. We show how builders use it to iterate on Spark Declarative Pipelines and Lakeflow Jobs, accelerating authoring.
It knows your data, grounded in Unity Catalog metadata, semantics, and governance policies. This grounding helps Genie Code take accurate and context-aware actions.
Beyond authoring, Genie Code keeps workflows healthy, proactively monitoring and maintaining data and AI in production. We discuss how it autonomously detects, diagnoses, and proposes fixes the moment failures happen, with every agent running sandboxed, so production stays untouched.
Session Speakers
Gal Oshri
/Sr. Staff Product Manager
Databricks
Lennart Kats
/Principal Engineer
Databricks