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Experience
- CHANELDevSecOps ConsultantLUXURY GOODSNovember 2022 - Today (3 years and 7 months)Neuilly-sur-Seine, France→ Mission Objective:Accelerate and make development and deployment cycles reliable by implementing aDevSecOpsapproach onMicrosoft Azure/ **AKS**, focused on performance, quality, and security, with data-driven (DORA) steering.→ Achievements:
- DevSecOps Integration in Azure DevOps (CI/CD):Added automatic quality and security checks (SonarQube,Veracode SAST+SCA+ container scans) with compliance rules and threshold management to secure releases.
- Industrialization of Infrastructure as Code on Azure (Terraform):Standardized provisioning through reusable modules/patterns, harmonized deployments, and reduced discrepancies between environments.
- Automation of Provisioning via ServiceNow:Implemented arequest → validation → executionworkflow for automated and controlled Azure resource creation, reducing time-to-project and improving traceability.
- Optimization of Azure DevOps Pipelines:Refactored and improved reliability (templates, best practices, secrets/variable management, step optimization) to speed up execution and reduce deployment errors.
- Centralization of Application Logs in Elastic Stack:Collected logs usingFilebeatand set up a robust processing chain (Event Hub → Logstash → transformations → Elasticsearch) to enhance observability, diagnostics, and Dev/Ops collaboration.
- Implementation of DORA Indicators and Quality Metrics:Defined and calculated the 4 KPIs (Lead Time, Deployment Frequency, Change Failure Rate, MTTR) to provide an actionable view of performance and facilitate decision-making.
→ Technical Stack:Microsoft Azure, AKS (Kubernetes), Azure DevOps, Terraform, Docker, Linux, ServiceNow, Elastic Stack, Filebeat, SonarQube, Veracode. - TotalEnergiesDevOps ConsultantENERGY AND UTILITIESApril 2018 - November 2022 (4 years and 7 months)Paris, France→ Mission Objective:Design and industrialize a completeDevOpsplatform (CI/CD, containerization, IaC, observability) on **Microsoft Azure**, with AKS as the execution foundation, to improve deployment reliability, scalability, and time-to-production.→ Achievements:
- DevOps Environment Design and Implementation:Structured the delivery chain and operational standards around Linux, Jenkins, and Azure/AKS.
- Deployment of Multiple AKS Clusters:Set up Kubernetes clusters on Azure to ensure workloadscalabilityand **resilience**.
- Migration and Industrialization on Azure:Contributed to cloud adoption (flexibility, better resource management, and cost optimization).
- Infrastructure as Code & Configuration Management:**Terraform** for Azure resource provisioning,Puppetto standardize and maintain Linux system configurations,Ansibleto automate recurring operations and deployments.
- High Availability and Ephemeral CI/CD:Implemented a containerizedJenkins HAchain with **Docker Swarm**, featuring ephemeral build agents (created on demand, executed on build, then destroyed) to enhance reliability, isolate executions, and optimize resource usage.
- Observability & Application Flows:Deployed anElastic clusterfor log centralization and aKafka clusterfor application flow/event management.
- Modernization of Artifact Management:Migrated **Nexus 2 → Nexus 3**.
- Python Automation:Scripting to industrialize DevOps processes (tooling, operational tasks, CI/CD automations).
→ Technical Stack:Microsoft Azure, AKS (Kubernetes), Linux, Jenkins, Docker, Docker Swarm, Terraform, Puppet, Ansible, Elastic Stack, Kafka, Nexus 2/3, Python. - BEUZPROCloud ArchitectureENTERTAINMENT AND LEISURENovember 2020 - September 2022 (1 year and 10 months)Dakar, Senegal→ Mission Objective:Assist with the migration ofOn-Premiseapplications toAWSby modernizing the architecture (high availability) and industrializing deployments (CI/CD), while empowering teams to be autonomous on the AWS ecosystem.→ Achievements:
- Application Migration to a Highly Available Architecture:Implemented aLoad Balancerfront-end,Auto Scalingfor elasticity, andredundantdatabases to improve availability and service continuity.
- Industrialization of Deployments (Native AWS CI/CD):Built a delivery chain withCodeCommit + CodePipeline + CodeDeployto automate build/release/deployments and ensure reliable production releases.
- Environment Standardization via Images:ManagedAMIimages withPackerto ensure consistent, reproducible, and easier-to-maintain environments.
- Skills Transfer:Trained teams on the AWS components used, operational and deployment best practices, to accelerate adoption and reduce dependency.
→ Technical Stack:AWS (Load Balancer, Auto Scaling, managed/redundant database services), CodeCommit, CodePipeline, CodeDeploy, Packer, Linux.
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Education
- Master Systems, Networks, and SecurityESGI2013
- Seminar Virtualization & KVMESGI2012
Certifications
- Kubernetes CKALinux Foundation2021