David Võ-hữu is a Data Master Engineer Analyst based in Stockholm with 11 years of experience building high-performance data platforms, analytics, and database solutions. He combines academic rigor from PhD research in parallel and concurrent algorithms with hands-on delivery of cloud data warehouses, ETL pipelines, and finance dashboards using Azure, ADF, Power BI, PostgreSQL and MSSQL. His background in functional languages (Haskell, Erlang) and systems programming (C/C++) informs an efficiency-first approach to data modeling, optimization, and secure CI/CD practices with Docker and GitHub. At ELIS and prior roles he has translated complex stakeholder requirements into production-ready architectures and reusable patterns for organizational hierarchies, KPIs and reporting. Notably, his doctoral work produced memory-efficient data distribution and compiler techniques that scale from small servers to cloud clusters, giving him an uncommon mix of research-grade parallelism insight and practical BI delivery. Colleagues value his persistence and pragmatic problem-solving—he literally builds the bridges between theory and business-facing analytics.
11 years of coding experience
10 years of employment as a software developer
PhD education Computer Science, PhD education Computer Science at The Graduate University for Advanced Studies
PhD Education Computer Science, PhD Education Computer Science at Uppsala University
Contributions:12 PRs, 45 pushes, 11 branches in 1 month
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