Edwin Tse

I build data systems teams can trust.

I work across data engineering, analytics engineering, product measurement, and operational reporting. Most projects start with fragmented systems, disputed metric definitions, and decisions that depend on getting the logic right.

I turn that into warehouse models, reporting layers, and measurement workflows teams can inspect, explain, and use with confidence.

Abstract editorial image evoking connected systems, mapped flows, and layered operational infrastructure.
Recent work across GTM data engineering, KPI systems, experimentation, and transportation-linked analysis.

Recent work

GTM data engineering and attribution

Identity stitching, lifecycle reporting, and warehouse modeling that make revenue reporting easier to trust.

Operations and BI

KPI systems that people actually use

Metric governance, dashboard workflows, and reporting cycles built for faster decisions.

Longer thread

Transportation, planning, and fairness

A systems lens shaped by public infrastructure, incentives, and real-world trade-offs.

Selected work

Selected projects across data systems, measurement, and transportation analysis.

A concise cross-section of the systems, tools, and analyses I have built in professional and independent work.

What I bring

I do my best work where messy processes still need clear numbers.

I do my best work where implementation quality and judgment both matter. That usually means defining logic clearly, building reliable data flows, and making sure the output still holds up once other teams depend on it.

I care about definitions, edge cases, and the operating reality behind reported numbers, whether the context is revenue reporting, product measurement, logistics workflows, or transportation analysis.

Contact

I’m interested in data engineering, analytics engineering, and product analytics roles.

If my background is relevant to your team, feel free to reach out at tsepaksang8@gmail.com.