Summary
David Gleba is a Senior Engineer in Predictive Engineering Analytics with 11 years in software-enabled engineering roles and a mechanical engineering foundation (BESc) plus P.Eng credentials. He blends hands-on full-stack development (Python, Ruby on Rails, Node.js, Vue.js), database engineering (MySQL, MongoDB, CouchDB) and containerized deployments with deep statistical and multivariate analysis experience, applying open-source tooling to replace ad-hoc spreadsheets and automate machine data collection. A Six Sigma Black Belt since 1995, he pairs process improvement leadership across manufacturing sites with modern data-stack visualization tools like Metabase, Redash and Superset to drive actionable insights. At Johnson Electric he focuses on predictive analytics to improve reliability and operations, and his background as a Continuous Improvement leader and facilities manager gives him rare cross-functional fluency between shop floor practices and production-grade analytics. He is actively learning machine learning techniques, bringing practical, measurement-driven rigor to ML-ready data pipelines and industrial analytics projects.
11 years of coding experience
16 years of employment as a software developer
BESc, Mechanical Engineering, BESc, Mechanical Engineering at Western University
P.Eng, P.Eng at Ontario
Polish