Martin Roddam is a Senior Data Engineer with 10 years’ experience designing event-sourced ETL pipelines and data platforms, currently building scalable streaming and batch solutions at Utility Warehouse using Kafka, Golang, Python and cloud-native tooling across GCP and AWS. He partners closely with Data Scientists to productionise ML models and maintain a Feature Catalogue, while also applying infrastructure as code (Terraform) and orchestration (Kubernetes, Dataform) to ensure reproducible, reliable data delivery. His background in quality assurance at the Financial Times and early telecoms testing roles gives him a strong bias toward observability, automated data checks and operational robustness. Combining a Master’s in Astrophysics with hands-on engineering, Martin brings analytical curiosity and systems thinking to complex, data-driven problems.
11 years of coding experience
7 years of employment as a software developer
Masters Degree, Astro-physics, Masters Degree, Astro-physics at University of Kent
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