Build trust before the model runs.

Data platforms · Updated September 2026

Collection is an operating responsibility

A successful collection job is not the same as a usable dataset. Research teams need to know what arrived, what is missing, when it was observed and which transformation produced the version they are using. My platform work makes those questions part of the interface between ingestion, modelling and reporting.

One control plane. Several sports. explores shared infrastructure with sport-specific ownership. The common layer exposes pipeline state and operator actions without pretending that every sport has the same evaluation rules or release process. The important boundary is what can be standardised safely, and what needs an accountable domain owner.

The WNBA operating cycle shows how scheduled collection connects to evaluation, explicit promotion and advisory output. Trustworthy dashboards follows the same discipline downstream: a reporting surface must distinguish fresh, stale, incomplete and unavailable records.

The archive below traces earlier work in streaming feeds, alerting and documentation. Continue through pipelines and observability or governance and documentation for related implementation stories.