Selected projects
Real analytics platforms our founder helped build over 15+ years — in-house at Amazon and Microsoft, and as a consultant for SaaS, telecom and fintech companies across North America. For each one: the team, the architecture, the stack, and what actually changed.
Oracle Data Warehouse to AWS Redshift
AbeBooks (an Amazon subsidiary)
Migrating a marketplace off Oracle, PL/SQL and Crystal Reports onto Redshift and Tableau.
Product Analytics for a Voice Assistant
Amazon Alexa — Natural Language Understanding
Replacing manual CSV extracts with an automated Redshift and Tableau product analytics stack.
Feature Engineering for Machine Learning
Amazon Retail
Building ML feature pipelines from a core data lake — with no warehouse, no data model and no dashboards.
Delta Lake for Gaming Analytics
Microsoft Xbox — The Coalition
Moving a game studio off on-premise SQL Server and Hive onto an Azure Databricks lakehouse.
Analytics for a Pre-IPO SaaS Product
A Canadian SaaS product company (pre-IPO)
An open-source data stack on AWS Athena, carrying finance reporting through an IPO.
Snowflake Analytics for a Public SaaS Company
A Gartner-leader SaaS product company
A Snowflake warehouse serving internal BI, self-service, customer-facing insights and ML features.
Serverless Data Lake for a Telecom
One of the largest North American telecom companies
A config-driven AWS data lake where every job spins up its own EMR cluster and tears it down.
Open Source Analytics for a FinTech
One of the largest North American FinTech trading companies
A small data team running an open-source analytics stack at a trading company.
Platforms we work with
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