Taking the pain out of your data — at any scale.

Track record

Selected work

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

• 2026 — present

  Enyquant — Platform Architect & end-to-end Data Engineer — raw → modeled (Azure + Alibaba Cloud) — FTE

  Sole hands-on architect for a dual-region Lakehouse (Azure EU + Alibaba Cloud China) at an energy-trading, AI-first startup. Full ownership of platform, pipelines, IaC, CI/CD, IAM, and cross-region architecture.

  • — Medallion-architecture Lakehouse on ADLS Gen2 + Databricks Unity Catalog with dev/prod parity
  • — 100% IaC (CDKTF + Terraform); zero click-ops drift
  • — Event-driven serverless pipelines for energy-market data across both regions
  • — Multi-team IAM, cost allocation, and secure cross-region data access models
  • — Reusable multi-cloud architecture layer for consistent EU ↔ China deployment
  • — Designed for AWS portability (Lambda / Step Functions / API Gateway / S3 equivalents)
  • — Built an AI-assisted (Harness Engineering) delivery practice → ~3× individual throughput

  Azure (ADLS Gen2, Databricks, ADF, Functions, Key Vault, Entra ID) · Alibaba Cloud (OSS, Function Compute, DataWorks, EMR Spark) · Terraform + CDKTF (TypeScript) · GitHub Actions + OIDC · Python, SQL

• 2024 — 2025 (returned engagement) & 2020 — 2022

  PVH Corp (Tommy Hilfiger, Calvin Klein) — Lead Data Engineer — Freelance

  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 platform-modernisation phase.

  • — Migrated the data lake from Hadoop to AWS
  • — Designed and shipped external integrations: Adobe, Salesforce, SAP, +others
  • — Refactored the ETL layer to be idempotent and config-driven
  • — Fixed long-standing timezone issues across data and scheduling
  • — Self-service analytics platform with 60+ dashboards used by CRM & C-suite — TTM 2 weeks → 10 minutes
  • — Real-time GDPR (de)anonymization service: latency 2h → real-time, cost 10× lower
  • — Migrated workloads to Azure Databricks; integrated GCP BigQuery & Google Analytics sources
  • — Acted as senior platform engineer advising on DataOps, IaC, and production readiness

  AWS (S3, Glue, EMR, ECS, Lambda, API Gateway, Athena, Step Functions) · Spark, Kafka, dbt, Airflow · Terraform, AWS CDK · GitLab CI/CD · PyDeequ for data quality · Azure Databricks, GCP BigQuery (cross-cloud sources)

• 2022 — 2024

  VodafoneZiggo — Data Engineer & Infra Admin — Freelance

  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
  • — Designed and maintained CDC-based ingestion pipelines (DMS-based)
  • — Managed AWS infrastructure as code (CDK + Terraform)
  • — Introduced CI/CD improvements that saved the broader team 60+ hours of manual work
  • — Delivered ETL pipelines and an internal data-engineering framework on a 1PB+ datalake
  • — Supported data scientists and analytics teams with reliable datasets

  Snowflake · AWS · Terraform, AWS CDK (TypeScript) · Python, SQL, Spark · AWS DMS for CDC · GitLab CI/CD

Tech stack

Cloud

AWS (deepest), Azure, Alibaba Cloud, GCP

Lakehouse

Databricks, Snowflake, Unity Catalog, Iceberg, DuckDB

ETL

Spark, dbt, Glue, Kafka, AWS DMS (CDC)

Languages

Python, SQL, TypeScript, Scala, Shell, Solidity, Cython

Orchestration

Airflow, ADF, Step Functions, DataWorks, Oozie

IaC

Terraform, AWS CDK, CDKTF, Ansible

CICD

GitHub Actions, GitLab CI/CD, Jenkins

Quality

PyDeequ, Great Expectations

Certifications

• — AWS Certified Solutions Architect — Associate
• — Databricks Certified Associate Developer for Apache Spark
• — Databricks Certified Data Engineer Associate
• — Certified Associate in Python Programming

Education

MSc, Communication & Information Systems — Xidian University, China. IDW evaluation: equivalent to MSc Computing Science (NL).