Summary
Sam Leese is a Senior Data Engineer with eight years’ experience building and re-architecting cloud-native data platforms across GCP and AWS, from ingestion pipelines to analytics and reporting. With an MEng in Engineering Mathematics, he blends strong mathematical modelling skills and practical software engineering (Python, Java, Node.js, SQL, Terraform, Airflow, DBT) to improve scalability, performance and data quality for organisations including Skimlinks, Lloyd’s List Intelligence and Places for People. He has deep hands-on experience in data governance and Collibra integrations—creating BPMN workflows, Groovy/Java customisations and Mulesoft flows—which gives him a rare combined expertise in metadata management and pipeline engineering. Comfortable across infrastructure, ETL and front-end exposure, Sam’s background in traffic modelling (VISSIM, LinSig) and civil engineering informs a methodical, data-driven approach to complex systems and edge-case validation.
8 years of coding experience
7 years of employment as a software developer
Master of Engineering (MEng) Engineering Mathematics, Master of Engineering (MEng) Engineering Mathematics at University of Bristol
English, Spanish, French