Antoine Arrivé is a seasoned software engineer with 10 years of experience building and architecting web applications, currently contributing to Akeneo’s open-source PIM as a back-end developer. He has a strong Symfony and DevOps background from roles as Software Architect at AGENA3000 and developer positions across public and private sectors, bringing practical expertise in Docker, GitLab, CI/CD and performance tuning. At Akeneo he has worked on API endpoints, UUID command handling and query/indexing optimizations for a widely used PIM platform, showing attention to scalability and data integrity. Based in Montaigu-Vendée, France, he combines a pragmatic engineering approach with an interest in music, and has a track record of mentoring teams and driving product rewrites and tooling adoptions.
10 years of coding experience
8 years of employment as a software developer
Licence professionnelle, Développement d'applications réparties, Obtenu, Licence professionnelle, Développement d'applications réparties, Obtenu at Université de Nantes
BEP, Electronique, Obtenu, Mention bien, BEP, Electronique, Obtenu, Mention bien at Lycée Jean MONNET aux Herbiers
BTS Informatique de gestion, Développeur d'applications, Obtenu, BTS Informatique de gestion, Développeur d'applications, Obtenu at Lycée Notre Dame du Roc à la Roche sur yon
Bac Professionnel, Micro-Informatique & Réseau, Installation & Maintenance, Obtenu, Mention Bien, Bac Professionnel, Micro-Informatique & Réseau, Installation & Maintenance, Obtenu, Mention Bien at Lycée Chevrollier à Angers
[Community Development Repository] The open source Product Information Management (PIM)
Role in this project:
Back-end Developer
Contributions:221 reviews, 86 commits, 147 PRs in 4 months
Contributions summary:Antoine primarily contributed to the back-end development of the Akeneo PIM, focusing on adding functionality and refining existing code. Their work included adding UUIDs to commands, creating new API endpoints for product versioning, and fixing indexing issues. The commits also reveal the user's involvement in database interactions, specifically addressing slow queries related to variant product counts.
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