Mathieu Goeminne

Swift Développeur Backend at Myrmidons

Mons, Hainaut, Belgium
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Summary

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Senior
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Top School
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.
code19 years of coding experience
job15 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at UMONS
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Stackoverflow

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156reputation
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2answers
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Github Skills (73)

parser10
hierarchy10
paypal10
statement10
design-by-contract10
cli-application10
generator10
jsqlparser9
visitor-pattern9
testing9
property-testing9
uml9
time-series9
oracle9
behavior-driven-development9

Programming languages (7)

JavaCScalaJavaScriptPerlHTMLPython

Github contributions (5)

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cetic/TSimulus

Mar 2016 - Jul 2020

A tool for generating random, yet realistic, time series values
Contributions:2 releases, 221 commits, 5 PRs in 4 years 3 months
time-seriestsimulustimeseriesgeneratorscala
cetic/tsorage

Oct 2019 - Dec 2020

A platform for collecting, storing, and processing time series at scale
Contributions:1 release, 53 PRs, 315 pushes in 1 year 2 months
time-series
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