About Jonathan
- Data architecture on AWS (data lake, lakehouse, data mesh)
- Design and optimization of data pipelines
- Structuring of data platforms (storage, orchestration, governance)
- Scalability, performance, and best practices
- Team support and technical leadership
French
Native or bilingual
English
Native or bilingual
Experience
- BpifranceData Platform / Cloud Architect (AWS) — Tech LeadPUBLIC SECTORNovember 2024 - Today (1 year and 8 months)Maisons-Alfort, France
- Technical leadership of an AWS data platform supporting several production use cases
- Design and evolution of scalable data architectures (data pipelines, storage, orchestration)
- Supervision of a team of 9 data engineers (technical lead, architecture decisions, best practices)
- Implementation of testing strategies (unit & integration) to ensure data pipeline reliability
- Evaluation and integration of new storage approaches (e.g., Apache Iceberg)
- Contribution to technical audits and management of improvement plans
Impact:- Improvement of code quality and data engineering practices
- Enhanced robustness and maintainability of the data platform
Environment:AWS (S3, Glue, Athena, Step Functions, API Gateway), Spark, ETL, Terraform, Jenkins, CI/CD, Apache Iceberg - AWSAWS Authorized Instructor — AWS Authorized Instructor (Champion)TECHMarch 2022 - Today (4 years and 5 months)Paris, France
- Delivery of official AWS training (fundamentals to expert) to IT and data professionals
- Engagements on behalf of AWS and several AWS Training Partners
- Training on cloud, AWS architecture, security, Generative AI, data engineering, and best practices
- Adaptation of content and pedagogy based on skill levels (beginner to advanced)
- Support for teams in skill development and adoption of cloud architectures
Impact:- Accelerated technical and data team upskilling
- Improved team autonomy on AWS and data platforms
- Dissemination of best practices in architecture, security, Generative AI, and data engineering
Languages:French / English - FortuneoCloud Architect (AWS)BANKING AND INSURANCEFebruary 2024 - September 2024 (7 months)Paris, France
- Analysis and evolution of a serverless AWS architecture supporting critical use cases
- Design of a target architecture focused on scalability, security, and resilience
- Implementation of asynchronous patterns (event-driven, orchestration) to improve processing robustness
- Performance of load testing studies to validate scaling
- Collaboration with data, platform, and engineering teams to ensure overall architectural consistency
Impact:- Improved reliability and scalability of serverless applications
- Alignment of architecture with the platform's long-term objectives
- Reduced risks related to load increases and peak activity
Environment:AWS (Lambda, Step Functions, EventBridge, S3, QuickSight), serverless architectures, event-driven
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Education
- Information Technology and Software EngineeringMcMaster University2011Information Technology and Software Engineering
- Ingénieur, Système d'information et RéseauxEcole supérieure d'Ingénieurs en Génie électrique2011Ingenieur, Système d'information et Réseaux
Certifications
- dbt Fundamentalsdbt Labs
- AWS Certified Security – SpecialtyAmazon Web Services (AWS)