Mathieu Goeminne is a backend Swift developer and seasoned data architect with 19 years of experience combining rigorous academic research (PhD and post-doc in software engineering) with hands-on delivery of scalable, production-grade data platforms. He has designed and led industrial Big Data and IIoT systems—from ingestion and long-term storage to anomaly detection and pay-per-use accounting—working extensively with cloud and on-prem tools like AWS, Kubernetes, Trino and PostgreSQL. At CETIC and in industry projects he translated complex domain knowledge (energy grids, aerospace test benches, manufacturing) into ontologies, graph databases and performant pipelines that enabled predictive maintenance and process optimization. Comfortable moving between low-level database tuning and high-level architecture, he also mentors teams and builds CI/CD, instrumentation and observability to drive data-informed decisions. A less obvious strength is his background in formal research on co-evolution of databases and applications, which informs pragmatic designs that evolve smoothly as systems and data requirements change.
19 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at UMONS
Contributions:5 releases, 18 commits, 1 PR in 3 years 8 months
realistictime-seriestimeseriescli-applicationcli
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Mathieu Goeminne - Swift Développeur Backend at Myrmidons