11/12/2024 updated


100 % available
Experienced DevOps Engineer
Chelles, France Bachelor's Degree in Social Sciences and Mathematics
Amazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisAutomationTest AutomationMicrosoft AzureBash ShellUnixUbuntu (Operating System)CentOSSoftware QualityComputer ProgrammingDatabasesContinuous Integration
AWS Cloud Services
Extensive knowledge of AWS services including S3, RDS, VPC, Lambda, EC2, ECS, EKS, CDK, CodeCommit, CodePipeline, CodeBuild, CloudFormation, AWS Organizations, and AWS Control Tower.
DevOps Tools & Orchestration
Proficiency in Kubernetes, Helm, Docker, Ansible, Terraform, CloudFormation, OpenShift, Grafana, Prometheus, Loki, and ELK stack for efficient infrastructure management and deployment.
CI/CD & Version Control
Experience with GitHub Actions, GitLab CI, Jenkins for continuous integration and deployment, along with Git for version control.
Scripting & Programming
Skills in Python, Shell, and Bash scripting for automation and data processing tasks.
Unix Systems
Proficiency in RHEL, Ubuntu, Debian, CentOS, Amazon Linux AMI, and Amazon Linux 2 for server management and configuration.
Databases
Experience with SQL Server and PGSQL for data management and storage solutions.
Testing & Automation
Familiarity with SonarQube, GitGuardian, and Selenium for code quality assurance and automated testing.
Data Analysis
Capability in using Python libraries such as Numpy and Pandas for data manipulation and analysis.
Extensive knowledge of AWS services including S3, RDS, VPC, Lambda, EC2, ECS, EKS, CDK, CodeCommit, CodePipeline, CodeBuild, CloudFormation, AWS Organizations, and AWS Control Tower.
DevOps Tools & Orchestration
Proficiency in Kubernetes, Helm, Docker, Ansible, Terraform, CloudFormation, OpenShift, Grafana, Prometheus, Loki, and ELK stack for efficient infrastructure management and deployment.
CI/CD & Version Control
Experience with GitHub Actions, GitLab CI, Jenkins for continuous integration and deployment, along with Git for version control.
Scripting & Programming
Skills in Python, Shell, and Bash scripting for automation and data processing tasks.
Unix Systems
Proficiency in RHEL, Ubuntu, Debian, CentOS, Amazon Linux AMI, and Amazon Linux 2 for server management and configuration.
Databases
Experience with SQL Server and PGSQL for data management and storage solutions.
Testing & Automation
Familiarity with SonarQube, GitGuardian, and Selenium for code quality assurance and automated testing.
Data Analysis
Capability in using Python libraries such as Numpy and Pandas for data manipulation and analysis.
Languages
EnglishFluentFrenchNative speakerSpanishGood
Project history
My Mission: Redesign the infrastructure – FinOps
- Deployment of secure, isolated infrastructure environments.
- Deployment of Landing Zones via AWS Control Tower
- Creation and configuration of a highly available and scalable Kubernetes cluster (EKS)
- Migration of APIs from VMs to EKS
- Migration of the React website to Amplify.
- Configuration of a VPC network to isolate and secure the cloud infrastructure with the setup of public and private subnets.
- Deployment of an API Gateway.
- Definition of IAM roles to enable communication between the different components of the infrastructure.
- Implementation of multi-AZ RDS databases.
- Implementation of S3 and EFS storage solutions.
- Migration of on-premises secrets to Secrets Manager.
- Implementation of CI/CD with GitLab CI to automate testing (SonarQube, GitGuardian), integration, and deployments.
- Setup of a monitoring system with Grafana, Prometheus, Loki and CloudWatch to ensure the availability and performance of applications.
- Configuration of the Instance Scheduler solution to turn instances on and off based on provided parameters.
- Deployment of AWS infrastructure with Terraform, ensuring a reproducible and scalable infrastructure.
- Development of Ansible playbooks to automate recurring tasks and reduce human errors.
- Collaborated with finance and engineering teams to establish best practices for cloud cost management and resource allocation.
- Integrated FinOps tools to monitor and analyze cloud expenses, ensuring optimized cloud infrastructure costs.
- Writing user guides for the various tools and services used in the project to facilitate their use by operational teams (TAD, Operations Manual).
- Use of the Agile method with SCRUM sprints (Jira) for project management and documentation of the implemented solutions (Confluence).
My Mission: Scrape security data on a group of 12 countries, Process the data to produce security reports
- Develop Python scripts on jupyter to scrape security data from ACLED using Beautiful Soup and Selenium
- Implemented data cleaning and preprocessing techniques to ensure the accuracy and consistency of the collected data
- Process the data using Numpy and Pandas to produce deliverables
- Produce graphs on Protests and Non-State Actor Attacks
- Produce maps to locate Protests and Non-State Actor Attacks
- Produce security reports
My Mission: Creation of the infrastructure – Project deployments – FinOps
- Architecture and design of the AWS infrastructure from scratch (Draw.io).
- Deployment of Landing Zones via AWS Control Tower
- Deployment of APIs on ECS (Fargate) and storage of Docker images on ECR.
- Deployment of the React TypeScript website on Amplify, offering a user-friendly and responsive interface.
- Implementation of an RDS database and the ElastiCache (Redis) caching service.
- Implementation of S3 and EFS storage solutions.
- Configuration of a VPC network to isolate and secure the cloud infrastructure with the setup of public and private subnets.
- Definition of IAM roles to enable communication between the different components of the infrastructure.
- Deployment of AWS infrastructure with Terraform, ensuring a reproducible and scalable infrastructure.
- Implementation of CI/CD with GitLab CI to automate tests (SonarQube), integration, and deployments, ensuring continuous development and fast delivery.
- Creation of a pre-commit hook for local CI integration, ensuring code quality before integration.
- Implementation of a monitoring system with Grafana, Prometheus, Loki, and CloudWatch to ensure the availability and performance of applications.
- Identified bottlenecks and optimized the AWS infrastructure for improved performance, scalability, and cost efficiency.
- Provision of detailed documentation of deployment processes, system configurations, and best operational practices (TAD, Operations Manual).
- Use of the Agile method with SCRUM sprints (Jira) for project management and documentation of the implemented solutions (Confluence).