Deepanshu Kalra
I build systems that scale — data pipelines, analytics platforms, and AI agents that people actually use every day.
Data systems, end to end
From raw events to decisions — and now to agents. The throughline of my career is making data trustworthy and useful.
Data pipelines & warehousing
Modern ETL, data lakes, and warehouses on GCP, Azure, and AWS — built to be reliable at billion-user scale.
Analytics platforms & BI
Self-serve dashboards, dimensional modeling, and metrics that leadership actually uses — including SVPs at Google.
AI agents
Gemini-powered agents and workflow automation — like the AI workbench my team uses daily, inside Google Chat.
Where I've worked
Twelve years across the full data stack, from BI consulting to billion-user platforms.
A longer version of the story
How I went from BI consulting in India to data engineering at Google in the Bay Area — plus what I'm building next.