Lead Analytics Engineer

Shilpa
Radhakrishnan

Analytics engineer and industry veteran with 10+ years designing the models, building the pipelines, and delivering the dashboards that turn raw data into decisions. From Series B fundraising decks to production warehouse migrations, I own the full stack.

Ex Amazon Microsoft Walmart North One
Connect on LinkedIn Download Resume
10+
Years of Experience Amazon · Microsoft · Walmart · North One
70%
Query Cost Reduction Snowflake + dbt warehouse migration
5+
Core Tools at Expert Level SQL · dbt · Looker · Snowflake · AWS
50+
Analysts Mentored SQL, Looker, dashboarding, problem-solving
01

About

Shilpa Radhakrishnan

I've spent 10 years building the data infrastructure that executives trust with their hardest decisions.

At North One, I walked in as the company's first data hire and walked out having built the entire analytics function from zero — pipelines, the data warehouse, the BI layer, the KPI framework, and the reporting that went in front of the Board for Series B fundraising. When the CEO needed to know how the business was doing, they came to me.

Before that: a year at Amazon building automation that freed 80% of daily analyst time, 18 months at Walmart leading an ML-powered threat detection framework, and 18 months at Microsoft running A/B tests that moved Bing Ads performance by 15%.

What I do well: designing data models that make downstream work easy, migrating chaotic warehouse architectures into clean infrastructure, and building BI systems that non-data people actually use — and stop asking for help with.

02

Skills

🏗️
Analytics Engineering
dbt Core LookML ETL / ELT Data Modeling Pipeline Design
🗄️
Data Warehousing
Snowflake Redshift Databricks Warehouse Migration
💻
Languages
SQL (Advanced) Python Excel / VBA
📊
BI & Visualization
Looker Mixpanel Metabase Streamlit
☁️
Cloud & Infrastructure
AWS Lambda S3 Redshift Event-driven Pipelines
📐
Analytics Frameworks
ARR / LTV / CAC / Churn Attribution Modeling Cohort Analysis A/B Testing ICP Modeling
03

Experience

North One 2020 – Present
Lead Analytics Engineer
Fintech startup · Business banking for SMBs · First data hire
  • Built the entire analytics function from zero — pipelines, warehouse, BI layer, KPI frameworks, and Board-level reporting for 30+ stakeholders.
  • Reduced query costs 70% and improved reliability ~60% by leading the full warehouse migration from Redshift/Databricks to Snowflake/dbt.
  • Improved retention by 10% and acquisition by 8% by designing the APY calculation model and payout logic for a key customer-facing feature.
  • Owned company KPIs (ARR, LTV, CAC, Churn) and delivered Series B fundraising analytics as the single source of truth for CEO, CFO, and Board.
  • Reduced operational noise 35% with Slack-based monitoring alerts and automated pipeline health checks.
Amazon 2018 – 2019
Lead Business Intelligence Engineer
  • Reduced daily manual effort ~80% by building Python automation scripts that replaced repetitive reporting workflows.
  • Trained 50+ analysts in Python, SQL, and Excel, building durable analytics capability across the org.
Mu Sigma — Walmart 2017 – 2018
Lead Data Analyst
  • Increased crime detection potential 10x by leading an ML-powered framework to classify violent tweet content with real-time, store-level location tagging.
  • Built supply chain intelligence via a Twitter API integration for real-time business signal monitoring.
Mu Sigma — Microsoft 2015 – 2017
Data Analyst
  • Improved Bing Ads performance 15% through A/B testing campaigns and translating results into engineering recommendations.
  • Accelerated executive decision-making by synthesizing complex KPI analyses into structured stakeholder presentations.
04

Projects

01 Live ↗

Fintech Analytics Stack

Production-grade dbt + DuckDB warehouse with full KPI modeling layer — LTV, CAC, Churn, ARR. Includes staging and marts layers, 13 passing dbt tests, and a live Streamlit dashboard.

dbt DuckDB Python Streamlit LTV / CAC
View Live Dashboard → View on GitHub →
02 Live ↗

Warehouse Migration Playbook

Step-by-step guide and scripts for migrating from Redshift to Snowflake with dbt. Includes architecture diagrams, validation framework, rollback checklist, and real runnable SQL scripts.

Snowflake Redshift dbt SQL Architecture
View on GitHub →
03 Coming Soon

SaaS Retention Dashboard

End-to-end cohort retention and churn analysis using dbt + DuckDB + Streamlit. Features a retention heatmap, monthly cohort breakdowns, and churn trend visualizations — deployed as a live interactive app.

dbt DuckDB Streamlit Python Cohort Analysis
View on GitHub →
05

Get in Touch

I'm currently open to Lead and Staff Analytics Engineer roles across Canada and the US.

If you're working on an interesting data problem, building a data team, or just want to talk shop about dbt, Snowflake, or analytics engineering — I'd love to hear from you.

💼
LinkedIn
shilpa-radhakrishnan-3743717a
 💻
GitHub
github.com/rshilpa93