Hands-on Session: Unlock AI-Powered Data Engineering on Snowflake
Vivek Sunny
Senior Big Data, Cloud and AI Engineer, ThoughtFocus
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Agenda
Your data team doesn’t need more tools. It needs fewer bottlenecks. What if you could go from raw data to production-ready pipelines and AI workflows in a single day? With Snowflake’s Cortex Code, teams can now build, optimize, and deploy data workflows using natural language, dramatically accelerating development inside the warehouse.
In this session, Vivek Sunny (Snowflake Squad Member) joins us to break down how Cortex Code is actually being used in real-world environments, from agentic coding to multi-step workflow automation. Alongside, we’ll show how teams pair this with Hevo’s reliable data pipelines to ensure everything upstream is clean, consistent, and ready for AI-driven development. Because real speed isn’t just about building faster. It’s about building on data you can trust.
What you'll learn
Build pipelines at speed – Generate and optimize SQL, workflows, and ML tasks in minutes, not days
Never worry about broken pipelines again – How to eliminate downtime, schema issues, and manual fixes with automated ingestion
Make AI actually useful for data teams – where Cortex Code delivers real value and where teams still struggle
A modern data stack that actually works – The winning combo
Hevo + Snowflake + AI-assisted development
Avoid costly mistakes – Why “AI on messy data” fails and how to fix it before it happens
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