Engineering

Trustworthy data systems, explained through real engineering decisions.

Each case study separates the problem, my contribution, why it mattered, and the lesson that transfers to other systems. Current-employer details remain intentionally general.

Case study

Modernizing forecasting across organizational boundaries

A historical retail case study in translating source semantics, reconstructing demand history, and replacing manual replenishment with governed forecasting, audit, and ordering workflows.

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Case study

Moving enterprise analytics to a governed cloud data platform

A historical modernization case study in source-key analysis, change detection, reconciliation, access governance, and operational confidence during a Teradata-to-BigQuery transition.

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Case study

Designing reconciliation for systems that disagree

A reusable data-quality pattern for preserving conflicting evidence, testing business state and time, and recovering safely when schema-valid records describe incompatible realities.

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Case study

Measuring whether incident evidence can be trusted

A research-to-practice pattern that evaluates gaps, delays, contradictions, provenance, and recovery in the telemetry used for incident analysis.

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Case study

Building controls around AI-assisted data decisions

A governance pattern that keeps context, provenance, uncertainty, ownership, validation, and human review visible around AI-assisted standardization.

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