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Field notes from data product work.

Practical lessons on pipelines, governance, ML operations, and the delivery work behind reliable data systems.

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Machine Learning

Where does your AI fdall under the EU AI Act?

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Data Engineering

What teams should automate before adding dashboards

Quality checks, lineage, and metric definitions that stop dashboard drift.

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Data Engineering

Why bronze, silver, gold still works for AI products

A practical data product pattern for moving from raw events to governed insight.

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Data Engineering

Turning fragmented customer data into decision-ready systems

A field note on joining product analytics, payments, and support data into one trusted layer.

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