Summary
Tom Reid is a Data Engineer with nine years' experience building cloud-native ETL and analytics solutions, primarily on AWS, and a background in physics and software engineering. He has delivered production migrations and serverless pipelines for finance, insurance and green-energy projects using tools such as Glue, Lambda, Athena, Redshift, EMR and Aurora, and writes PySpark and Python-based data processing routinely. Recently he’s been developing document-image pipelines that combine AWS Textract and Bedrock for entity extraction in insurance claims, showing a blend of traditional ETL skills and practical ML/AI integration. Tom has a track record of stepping into interim technical leadership roles—managing databases, refactoring ETL platforms and participating in recruitment and technical interviewing. He is a published technical writer who pairs strong analytical thinking from an Honours Physics degree with hands-on software craftsmanship. Colleagues describe him as a fast learner who surfaces pragmatic solutions to complex data problems and is comfortable working across the full data lifecycle.
9 years of coding experience
5 years of employment as a software developer
Post Graduate Diploma Software Engineering, Post Graduate Diploma Software Engineering at Abertay University
Heriot-Watt University Edinburgh Campus
Higher National Diploma Applied Physics with Electronics, Higher National Diploma Applied Physics with Electronics at Glasgow Caledonian University