Amit Bhandari

I build AI and data platforms that survive contact with production — not proofs of concept that stall after the demo.

Over 20+ years architecting enterprise data and cloud platforms, my focus in recent years has narrowed to one problem: taking GenAI from experimentation to governed, scalable production. Most recently, that meant optimizing a Snowflake Cortex semantic layer to cut query cost by ~$0.048/request — a model that scales to ~$480K in annual savings across multi-market deployments.

What I bring

• End-to-end ownership — ingestion, semantic layer design, RAG architecture, AI enablement
• Platform depth across Snowflake Cortex, Azure OpenAI, and Databricks
• A track record of moving stakeholders from "interesting POC" to "board-ready platform"

Open to Principal/Lead Architect roles where GenAI platform work needs someone who's actually shipped it, not just prototyped it

End-to-end ownership — ingestion, semantic layer design, RAG architecture, AI enablement

Platform depth across Snowflake Cortex, Azure OpenAI, and Databricks A track record of moving stakeholders from "interesting POC" to "board-ready platform"

Open to Principal/Lead Architect roles where GenAI platform work needs someone who's actually shipped it, not just prototyped it

SnowPro Core Certification — Snowflake | Mar 2026

Databricks Certified Data Engineer Associate — Databricks | Feb 2024

IIM GenAI Certification — IIM | Jan 2024

Hands-On Essentials: Data Warehouse Snowflake — Snowflake | Jan 2023

Microsoft Certified: Security, Compliance, and Identity Fundamentals — Microsoft | Dec 2022

Kubernetes — LinkedIn Learning | Oct 2020

Azure Spark Databricks Essential — LinkedIn Learning | Sep 2020

Apache Spark Essential Training — LinkedIn Learning | Sep 2018