Damien Pageot
Cloud DevOps Engineer at Capgemini
Saint-Nazaire, Pays de la Loire, France
Summary
👤
Senior🎓
Top SchoolDamien Pageot is a Cloud DevOps Engineer with eight years of experience who transitioned from a PhD in Geophysics to production IT, bringing a rare blend of scientific rigor and practical DevOps expertise. At Capgemini he operates and administers production environments, authors a CLI Python tool for auditing multiple F5 Big-IP configurations, and migrated ephemeral test environments from bash+K8s to Helm. His background in numerical modeling, full waveform inversion and experimental validation informs a data-driven approach to monitoring and automation. Comfortable across Jenkins, Docker, Kubernetes and infrastructure-as-code patterns, he pairs systems-level thinking with hands-on scripting and tooling. Based in Saint-Nazaire, France, Damien is as at home debugging seismological simulations as he is optimizing CI/CD pipelines for enterprise workloads.
8 years of coding experience
8 years of employment as a software developer
Master 2 Recherche, Planetary Geosciences, Master 2 Recherche, Planetary Geosciences at Université de NantesPhD Thesis, Geophysics and Seismology, Obtenu, PhD Thesis, Geophysics and Seismology, Obtenu at Université Nice Sophia AntipolisPOE Consultant DevOps - Capgemini, Validé, POE Consultant DevOps - Capgemini, Validé at IPI Institut Poly Informatique
French, English
Stackoverflow
61reputation
3kreached
2answers
0questions
Github Skills (9)
filename6
scipy6
python6
codeblocks6
numpy6
imaging5
particle-swarm-optimization5
cli2
markdown2
Programming languages (1)
Github contributions (5)
PageotD/pageotd.github.io
Nov 2020 - Aug 2024
Contributions:39 pushes, 1 branch in 3 years 9 months
PageotD/pybann
Aug 2021 - Feb 2025
Python Basic Artificial Neural Network
Contributions:2 PRs, 64 pushes, 8 branches in 3 years 6 months
basic-pythonpythonartificial-neural-networkdeep-learningneural-networks
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