Summary
Philip Dye is a Senior Software Architect and data engineer who brings three decades of backend, systems, and database experience to high-stakes projects, now based in Pittsburgh. He specializes in performance tuning, database optimization, and rescuing complex, failing initiatives—skills proven across retail, manufacturing, and utility migrations. Philip is fluent in Python, C, Perl and PL/SQL and has repeatedly reduced runtime and on-call incidents by replacing fragile procedural processes with set-based SQL and test-driven automation. He has designed reproducible test infrastructures for legacy systems, built tooling such as a Pro*C VS Code highlighter and formatter, and led a seamless RHEL and Oracle migration under urgent timelines. Known for translating poorly documented systems into auditable, testable pipelines, he combines hands-on coding with architectural leadership to deliver measurable operational gains. His background in applied mathematics and early systems work at Carnegie Mellon underpins a pragmatic, analytical approach to large-scale data problems.
7 years of coding experience
11 years of employment as a software developer
Applied Mathematics/Computer Science, Applied Mathematics/Computer Science at Carnegie Mellon University