About Me
I build data platforms that scale technically, commercially, and operationally. My experience spans data engineering, platform modernisation, and cloud-native architecture, primarily across Azure and Databricks ecosystems, with a rare blend of hands-on technical depth and strategic platform ownership.
As Staff Engineer and Data Platform Owner at First Quantum Minerals, I inherited a platform running at 1 pound per pipeline, with an average ingestion time of 23 minutes and a 67% success rate. Through a ground-up architectural overhaul, re-platforming onto Azure Synapse, Azure Functions, and Databricks with a unified governance layer via Unity Catalog. I transformed that baseline entirely.
The platform now runs 130 pipelines for every 1 pound previously spent on one. Average pipeline execution sits below 5 minutes, with a +99% success rate. That's 13x the pipeline volume at one-ninth of the cost, while simultaneously improving reliability and data quality across the board.
Beyond the numbers, I delivered end-to-end data solutions including scalable batch and streaming pipelines, custom APIs, real-time ingestion architectures, and an enterprise-grade data governance and lineage framework. Cost-optimisation was embedded into architectural decisions from the start, not bolted on afterward.
Prior to that, at Lewis Group, I led the modernisation of legacy systems, built custom RPA solutions, and automated critical financial processes including IFRS 9 & 16 reporting, multi-system reconciliation and audit workflows. Eliminating significant manual overhead and accelerating insight delivery across finance and operations.
I thrive where engineering rigour meets business impact building systems that are modular, observable, well-documented, and built to last. I'm equally passionate about mentoring teams in platform best practices that improve reliability and, ultimately, data trust.