Technology changes. The real need usually doesn’t.

I find the stable business need beneath the stack, then build the simplest system that can serve it reliably.

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Daily engineering tools

Codex

Claude Code

8+ years in data · 4 cloud platforms

Selected work

The cases below are public; I have references with names attached on request.

See past work →

01 / 2026 — now

Enyquant

Owned the architecture and hands-on delivery of a dual-region energy-data platform. I separated stable business contracts — time, readiness, lineage, and failure boundaries — from replaceable runtimes, then changed the runtime when the evidence said it no longer fit.

EU ↔ CN: dual-region platform
~95%: lower runtime cost

↳Defined runtime-independent ingestion, temporal, and readiness contracts so compute could change without changing business meaning
↳Re-platformed daily runtime from Databricks + ADF to Airflow + DuckDB/Polars + DuckLake → ~95% lower monthly cost
↳Built governed DuckLake access with explicit human, team, and writer boundaries
↳100% IaC (CDKTF + Terraform); zero click-ops drift

02 / 2020–2022 · 2024–2025

PVH Corp

Lead engineer for a 500+TB AWS data lake with 90+ sources and 1000+ datasets. Two engagements covering the Hadoop → AWS migration and a later BI-delivery and platform-modernisation phase.

↳ Led the migration and build-out of a 500+TB data lake from Hadoop to AWS, supporting 90+ sources and 1000+ datasets

↳ Redesigned BI delivery: end-to-end new-dashboard lead time cut from 4–6 weeks to about one working day

03 / 2022–2024

VodafoneZiggo

Migrated legacy DWH workloads from Oracle to Snowflake on a 1PB+ enterprise datalake. Owned CDC ingestion, IaC, and the CI/CD foundation that the broader team builds on.

↳ Supported Snowflake migration from legacy Oracle DWH

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