I began in data analysis and backend development in 2012. This timeline follows the shift into cloud platforms, operational ownership and AI delivery without naming confidential clients.
2024–present
Enterprise marketing and analytics technology
Architecture, implementation and production support for AI-assisted workflows, multi-cloud data platforms, internal tooling, CI/CD and observability. Work includes an internal AI assistant and an analytics estate processing multi-terabyte daily workloads through hundreds of pipelines.
2021–2024
Large-scale enterprise analytics
Operational ownership across cloud data processing, release automation, dashboard systems, incident investigation and reliability improvements for high-volume analytical workloads.
2021
Healthcare-adjacent operational software
Led technical quality and applied data research, including event-driven integrations, real-time cloud pipelines, delivery automation and governance-sensitive operational controls.
2017–2021
Global consulting and regulated environments
Designed cloud analytics, modelling and compliance-grade processing for enterprise and Fortune 500 environments, including sensitive forensic and regulatory datasets requiring auditability and traceability.
2015–2017
Global technology services
Built analytical systems over high-volume operational and log data, with responsibility for modelling, implementation, performance investigation and stakeholder delivery.
2012–2015
Digital services and early-stage data products
Worked across reporting, backend development, real-time analytics and the foundations of production data platforms using Python, SQL, R and distributed processing tools.