Junior Data Engineer working on auditable, GDPR-aware pipelines on AWS.
I build with Python, SQL, and Terraform. My background is in law and sociology, which shapes how I think about data: as systems that need to be structured, traceable, and defensible. Most of my work sits at the intersection of data engineering and governance, building pipelines that handle sensitive data correctly, not just efficiently.
Based in London. Working through Harvard's CS50x and CS50P alongside client work.
Royal Blue ETL End-to-end ETL pipeline ingesting from PostgreSQL into a star-schema warehouse on AWS. Built with Python, psycopg3, and Pandas. Provisioned with Terraform (Lambda, S3, CloudWatch). CI via GitHub Actions with offline testing (pytest, moto), security scanning (bandit), and linting (ruff).
GDPR Obfuscator A Python tool for detecting and anonymising PII in files stored in AWS S3, designed to slot into existing pipelines as a reusable, auditable obfuscation step. Built for Tech Returners.
Python, SQL, Bash, PostgreSQL, FastAPI, Pandas AWS (Lambda, S3, RDS, IAM, CloudWatch), Terraform pytest, moto, ruff, bandit, GitHub Actions, uv