Daniel Bardsley is an engagement lead and senior software engineer with 11+ years delivering high-performance, highly stable systems across finance, retail, healthcare and gaming. He specialises in cloud-native replatforming and low-latency architectures — most recently architecting a 24/7 sports betting platform for US scale using Kubernetes, Lambda, DynamoDB, Scala and Java. Daniel combines a strong test-driven, black-box verification approach with Agile delivery to safely replace decade-old legacy systems processing millions of daily trades and critical nationwide messaging for the NHS. He pairs deep domain knowledge in financial services with hands-on expertise in data visualization and computer vision, supported by a PhD in Computer Vision from the University of Nottingham. Known for quickly mastering new stacks under pressure, he routinely builds client-facing relationships while enabling rapid CI/CD-driven iterations. Colleagues rely on him to turn complex regulatory and performance constraints into practical, auditable production systems.
11 years of coding experience
9 years of employment as a software developer
BSc, Computer Science, BSc, Computer Science at University of Nottingham
Deploy your static website with webpack to AWS using serverless
Contributions:3 pushes in 11 months
serverlessaws-lambdaawswebpacklambda
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