David Isaacs is a Data Engineer with 12 years’ experience designing and operating large-scale, AWS-native data platforms that turn high-volume streaming and batch music industry data into actionable insights. He has repeatedly re-engineered costly legacy pipelines—moving workloads from EC2 to ECS/EMR and modernising Oracle-based ETL into Glue/Athena—delivering measurable cost and performance gains. Comfortable across the stack, David blends PySpark/Scala processing, Terraform infrastructure automation, and hands-on SQL/PLSQL tuning to optimise royalty matching and reporting workflows. He’s pragmatic about reducing tech debt and improving team onboarding through reusable Terraform modules and role automation. Based in England, he pairs an MSc in IT and a BSc in Mathematics with decades of production troubleshooting, and is known for squeezing extra accuracy from messy matching problems using careful analysis of data science outputs.
12 years of coding experience
23 years of employment as a software developer
Bachelor of Science (BSc) Mathematics, Bachelor of Science (BSc) Mathematics at Queen Mary University of London
MSc Information Technology, MSc Information Technology at University College London, U. of London
Contributions:1 release, 2 pushes, 1 branch in 4 months
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