Data Engineer specialising in ETL pipelines, large-scale data processing, and automation systems. I turn raw, messy, multi-source data into structured assets that drive real decisions.
About
I work across the full data lifecycle - extraction, transformation, validation, and delivery. My work has spanned geospatial datasets at national scale, financial and regulatory pipelines, and executive dashboards that go straight into boardrooms. I've designed databases handling millions of records, built ETL systems from scratch, and managed complete project lifecycles including architecture, deployment, and stakeholder coordination.
My approach is automation-first. If a process can be systematised, it will be web scraping pipelines that survive anti-bot rewrites, PDF parsers for documents that were never meant to be parsed, API integrations that run without intervention. I'm strong in Python, SQL, and building scalable systems where reliability is non-negotiable.
I focus on one outcome: raw data in, decision-ready assets out. Everything in between schema design, validation layers, data quality checks is engineered to make that outcome repeatable.
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Contact
Open to data engineering roles, contract pipelines, and consulting on analytics infrastructure. I respond within 24 hours.