Data platforms for game studios and publishers
A publisher with several studios runs several data cultures on one platform, each with its own telemetry, release calendar, and idea of what an active player is. I lead data architecture for a multi-studio game publisher.
What is different about game data
Games generate data from the first playtest, and the questions change at every stage. Before launch, telemetry informs tuning and feature decisions. At launch, the same data has to show whether servers, stores, and support can keep up. In live service, it drives what ships next. A platform built for only one of those stages gets rebuilt at the next.
Games also carry obligations most consumer software does not. Titles with young players need age-gating and COPPA protections, every region brings its own privacy rules, and content moderation has to work at the scale of a live player base.
Where I help
- Telemetry standards across studios. Instrumentation and metric definitions that design, product, and analytics agree on before launch, so live-service numbers mean the same thing in every studio.
- Cost control on a platform that never sleeps. Workload policies, auto-suspend tuning, tagging, and budgets, plus escalation when a platform bug is the reason the bill spiked.
- Player safety at scale. The data workflows behind content moderation, child safety protections, and data-subject rights under GDPR and CCPA.
- Agentic analytics. AI agents over player support interactions and governed metrics, so product and marketing get answers in plain language without bypassing the semantic layer.
Working in games?
Bring the number that moved or the bill that grew. You will leave the call with a first read and a straight answer on whether I can help.



