À propos de Pascal
I am a versatile Software Developer, Architect, and DevOps Engineer with over two decades of experience designing, developing, and productionalizing complex software and data systems.
Throughout my career at major organizations like RTE, Knime, EDF, I have specialized in bridging the gap between raw data, robust infrastructure, and user-facing applications. My expertise spans cloud architecture (AWS), container orchestration (Kubernetes, Docker), Big Data pipelines, and full-stack development.
Recently, I have focused heavily on the intersection of cloud infrastructure and artificial intelligence. Having earned my AWS Certified Machine Learning Engineer – Associate certification, I am actively leveraging my robust engineering background to build, deploy, monitor, and scale production-grade AI and machine learning solutions.
Certifications:
- ‘AWS Certified Machine Learning Engineer – Associate’ on May 25th 2026
- ‘AWS Certified Cloud Practitioner’ on May 26th 2025
Core Technical Arsenal:
- Languages: Python, Java, JavaScript, C/C++
- AI / ML / Big Data: TensorFlow, Scikit-learn, AWS SageMaker, Dremio, Spark, Hadoop
- Cloud & DevOps: AWS, Kubernetes, Docker, Ansible, Gitlab
- Observability: Prometheus, Grafana, Elasticsearch
- Frameworks: Spring Boot, Django, Angular, React
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- RTE (DevOps team)DevOps Engineeroctobre 2023 - Aujourd'hui (2 ans et 9 mois)Paris, France(Team in charge of automating construction and delivery of more than 100 IT applications)• Integrated Machine Learning algorithms with DEVIN (RTE DevOps platform) for predictive Analytics and Anomaly Detection• Configured and integrated Prometheus & Grafana with DEVIN• Configured and integrated Elasticsearch Stack with DEVIN• Integrated Lighthouse with DEVIN and Kubernetes• Contributed to the evolution and upgrade of the DEVIN platform• Offered consulting and training on DevOps for RTE projectsTechnical environment: AWS, Kubernetes/Docker, Python, Ansible, Gitlab
- RTE (Big Data Factory team)Software Developer and Architectavril 2019 - septembre 2023 (4 ans et 5 mois)Paris, France(Team managing the data lakes and Big Data related services)• Designed and developed tools around the Dremio data lake• Designed and developed a Web application with Python/Django for Dremio• Designed and developed Web Services with Spring Boot and Python• Designed and developed a Web application with Spring Boot/AngularTechnical environment: AWS, Spring Boot, Python, Django, JavaScript, Angular, Dremio, Hadoop
- KNIMESoftware Developer and Architectfévrier 2018 - mars 2019 (1 an et 1 mois)Berlin, Germany(Editor of a platform for Data Analytics)• Designed and developed Nodes for the Knime Analytics Platform• Designed and developed Web Services for the Knime Server• Tech Lead on the prototype of Knime in the CloudTechnical environment: AWS, JavaScript, D3.js, React, Node.js, Java, Spring, Spring Boot
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Formations
- Associate of ArtsLos Angeles College of Music2011Studied Guitar Performance
- DEA Modélisation et Instrumentation en PhysiqueUniversité Pierre et Marie Curie1999DEA Modélisation et Instrumentation en Physique
Certifications
- AWS Certified Machine Learning Engineer – AssociateAWS2026
- AWS Certified Cloud PractitionerAWS2025