Analytics Engineer

Vishal Mahendra

I build data systems that turn raw information into business decisions — from analytics engineering and GenAI-powered BI to data pipelines and semantic layers.

dbt + Snowflake GenAI & Cortex Power BI / Tableau PySpark / Delta Lake Semantic Layers
$0ARR planning powered
0less manual reporting
0faster turnaround

Selected work

Systems that turn data into decisions

Analytics engineering and GenAI work I've taken from raw data to boardroom decisions.

Live demo · try this one

Customer VOC & GTM Command Center

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.

  • Streamlit
  • DuckDB
  • Medallion SQL
  • VOC
  • Cortex-style narrative
vishal-portfolio…streamlit.app
Analytics Engineering01

GTM Single Source of Truth

dbt staging & mart models on Snowflake for Pipeline, Bookings & Forecasting — tested, documented, adopted by the CFO.

$300M+ARR powered
75%less manual prep
GenAI · Product02

Customer VOC & Product Adoption

GenAI dashboards on Snowflake Cortex over a medallion model — real-time account health, adoption & churn-risk for leadership.

40%faster exec cycles
Real-timeaccount health

What I work on

From raw data to the boardroom

01

Analytics Engineering

dbt + Snowflake medallion models, tested metric definitions, and semantic layers as the single source of truth.

02

GenAI & Cortex

Conversational analytics and auto-generated insight narratives that put natural-language answers in front of leaders.

03

BI & Semantic Layers

Executive Power BI & Tableau on star-schema models, natively connected to Salesforce at multi-million-row scale.

04

Data Quality at Scale

PySpark + Delta Lake ELT with schema evolution and cell-level reconciliation sustaining 100% accuracy.

05

Product Analytics & VOC

Embedded in the product org — feature adoption, account health, and Voice-of-Customer signals via Gainsight.

06

AI-Augmented Delivery

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.