Hi, I'm
Eric Stakebake
Analytics Engineer
Analytics engineer with a Master of Accountancy and 5+ years building data pipelines and revenue systems. I turn messy, large-scale data into reliable models, forecasts, and reporting — from financial models and pipelines processing hundreds of millions of rows to online games played thousands of times.
What I've built
Projects
Heisty
A heist-themed daily logic puzzle. Players crack a new three-stage puzzle every day, earning cash and gold tracked through a general-ledger system I built on Supabase/Postgres — recording individual journal entries rather than overwriting balances, so player wallets stay auditable. Instrumented with PostHog. Launched in May 2026, Heisty has grown to 50+ account sign-ups with games played over 1,000 times.
Palavra
Full-stack word game with over 700 lifetime users and 2,600+ games played. Built with React and TypeScript, backed by Supabase for real-time analytics. Includes a companion dashboard at analytics.palavragame.com showing leaderboards, game stats, and player metrics across 2,502+ total games.
namequest.org
API-integrated research platform serving hundreds of unique users monthly. Integrates the US Census Bureau API, ChatGPT, and Claude for real-time data retrieval and AI-powered surname analysis. Features analytics dashboards and interactive game modules.
Where I've worked
Experience
Jul 2025 — Present
Senior Analytics Engineer
Trucordia- Architected dbt models in a CI/CD pipeline with automated testing and version control, treating data integrity and safe deployments as first-class concerns.
- Designed database schemas for core product, company, and revenue dimensions supporting 300+ tables with 200M+ rows.
- Built scalable transformation pipelines in Snowflake powering business-critical financial and operational reporting.
- Mentored analysts and trained non-technical teams on data tooling and best practices.
Sep 2024 — Jul 2025
Senior Business Intelligence Analyst
Trucordia- Led a revenue-capture initiative generating $5M in incremental revenue through analytics and financial modeling.
- Built financial and operational KPI models and forecasts supporting executive decision-making.
- Mentored analysts and developed the team's revenue and business intelligence capabilities.
Oct 2023 — Sep 2024
Sr Analyst, Treasury Process
Extra Space Storage- Automated treasury workflows with SQL and VBA, adding reconciliation and error handling that improved forecast accuracy and operational efficiency.
- Developed Power BI dashboards identifying cost-saving opportunities, reducing annual bank fees by $300K.
Jul 2022 — Oct 2023
Graduate Research Assistant
University of Tennessee, Knoxville- Analyzed complex datasets using SQL and Python to test hypotheses and build predictive models.
- Collaborated with cross-functional teams to present research findings and write academic publications.
Oct 2020 — Jun 2022
Treasury Analyst
Ancestry- Automated cash-forecasting workflows with VBA, reducing preparation time by 67% and improving forecast reliability.
- Built Tableau dashboards for cash-flow visualization and forecast-performance tracking.
Where I studied
Education
What I work with
Skills & Technologies
Languages & Backend
Data & Infrastructure
Practices
Domain