GTM Single Source of Truth
dbt staging & mart models on Snowflake for Pipeline, Bookings & Forecasting — tested, documented, adopted by the CFO.
Analytics Engineer
I build data systems that turn raw information into business decisions — from analytics engineering and GenAI-powered BI to data pipelines and semantic layers.
Selected work
Analytics engineering and GenAI work I've taken from raw data to boardroom decisions.
A public rebuild of the shape of my Snowflake work, running live in your browser: a DuckDB medallion model (Bronze → Silver → Gold) driving pipeline & bookings, product-adoption and Voice-of-Customer signals, churn-risk accounts, and an auto-generated insight narrative. Synthetic data; no proprietary anything.
dbt staging & mart models on Snowflake for Pipeline, Bookings & Forecasting — tested, documented, adopted by the CFO.
GenAI dashboards on Snowflake Cortex over a medallion model — real-time account health, adoption & churn-risk for leadership.
What I work on
dbt + Snowflake medallion models, tested metric definitions, and semantic layers as the single source of truth.
Conversational analytics and auto-generated insight narratives that put natural-language answers in front of leaders.
Executive Power BI & Tableau on star-schema models, natively connected to Salesforce at multi-million-row scale.
PySpark + Delta Lake ELT with schema evolution and cell-level reconciliation sustaining 100% accuracy.
Embedded in the product org — feature adoption, account health, and Voice-of-Customer signals via Gainsight.
MCP-connected, agent-assisted delivery (Claude Code, Devin, Rovo) under governance — faster, without cutting review standards.
About me
I'm an Analytics Engineer at Smarsh, embedded in the Product organization. I partner with Product Managers, Product Strategy, and Engineering leadership to make GTM and product data trustworthy, documented, and genuinely self-serve.
Over 4+ years I've built dbt + Snowflake models powering $300M+ ARR planning, GenAI dashboards on Cortex, and BI that revenue and product leaders actually trust.