Description

I’m a DevOps & DataOps Engineer with 6 years of experience, specialized in cloud platforms, infrastructure automation, and observability systems, with strong expertise in Microsoft Azure.

I help companies design and operate scalable cloud-native platforms by combining DevOps, data engineering, and software development practices.

Over the years, I’ve worked on projects ranging from Azure cloud infrastructure architecture to real-time monitoring platforms for critical systems in industries such as finance, transport, and retail.

My focus is on solving key technical challenges:

🚀 Slow or unreliable deployments

I design CI/CD pipelines and GitOps workflows using GitHub Actions, Docker, Helm, and Kubernetes to deliver faster and safer releases.

☁️ Cloud architecture & Azure platform engineering

I build and manage Azure-based infrastructures, integrating services such as Kubernetes clusters, data pipelines, storage systems, and cloud-native observability stacks.

📊 Lack of visibility into systems

I implement end-to-end observability platforms using Grafana, ElasticSearch, logs, metrics, and traces to improve monitoring, reliability, and incident response.

🔄 Complex data ingestion and orchestration

I design reliable data pipelines and orchestration systems using Airflow, Kafka, APIs, and distributed processing frameworks.

🔒 Security, scalability & reliability

I apply DevOps and SRE best practices to build infrastructures that are scalable, secure, and production-ready.

My technical stack includes:

Azure, Kubernetes, Docker, GitHub Actions, Gitlab CI, Terraform, Airflow, Kafka, ElasticSearch, PostgreSQL, Grafana, Go, Python, ReactJS, and modern DevOps tooling.

👉 Whether it’s building cloud platforms on Azure, improving observability, or automating data workflows, I help teams deliver robust systems that scale with their business.

Let's make a quick call.

Domaines d’expertise

Langues

Anglais
Capacité professionnelle complète
Français
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

L'Oréal
DevOps Engineer – Observability & Monitoring
LUXE
juillet 2022 - Aujourd'hui (3 ans et 11 mois)
Paris, France
Participated in the design and implementation of a global observability framework for L'Oréal, enabling centralized supervision, real-time monitoring, alerting, and analytics across all the group's critical systems and applications.

Key Achievements:
- Built a unified observability platform (logs, metrics, traces) integrating ElasticSearch, Grafana, Kibana, Airflow, Logstash.
- Designed and deployed monitoring and alerting dashboards to enhance system visibility and resilience.
- Deployed and maintained infrastructure on Kubernetes (multi-cluster) following DevOps and SRE best practices.
- Implemented CI/CD pipelines (GitHub Actions, Azure Pipelines) to automate deployments and accelerate production delivery.
- Developed automated data ingestion and monitoring workflows with Airflow.
- Created custom Grafana plugins (ReactJS) tailored to business and IT team needs.
- Automated operational tasks using Go/Python services and scripts (data ingestion, monitoring, internal APIs).
- Introduced end-to-end testing to secure the deployment pipeline and ensure framework reliability.

Tech Stack:
Azure, Kubernetes, Helm, Docker, GitHub Actions, Azure Pipelines, Azure Functions, ElasticSearch, PostgreSQL, Kafka, RabbitMQ, Grafana, Kibana, Logstash, Airflow, Go, Python, ReactJS, VueJS

DataOps Airflow Site Reliability Engineering Python Microsoft Azure
Societe Generale
DevOps Engineer – CI/CD & Containerization
BANQUE & ASSURANCES
mars 2022 - août 2022 (5 mois)
Paris, France
Contributed to enhancing the development and deployment pipeline of My Digital Workplace, Société Générale’s internal platform that enables employees to self-troubleshoot and access digital services.

Key Achievements:
- Supported the industrialization of the platform by implementing and optimizing CI/CD pipelines (GitLab, Jenkins).
- Managed environments on OpenShift with containerized deployments via Docker.
- Established security best practices and secret management using Vault.
- Developed micro frontends in ReactJS and backend services with Node.js/NestJS, supported by unit tests (Jest) and end-to-end testing to ensure reliable releases.
- Built mock servers to simulate production environments, accelerating development and testing cycles.

Tech Stack:
OpenShift, Docker, Vault, GitLab, Jenkins, Node.js, NestJS, ReactJS, Jest, PostgreSQL, Redux, Webpack, SCRUM Safe
DevOps OpenShift Node.js Jenkins React.js
Transdev
DevOps Engineer – CI/CD & Real-Time Systems
TRANSPORTS
mars 2020 - mars 2022 (2 ans)
Île-de-France, France
Contributed to an innovative project for the control and supervision of autonomous shuttle buses, involving the design, development, and deployment of a new real-time supervision module within the information system.

Key Achievements:
- Set up and maintained Kubernetes clusters to deploy and scale distributed supervision applications.
- Designed and managed CI/CD pipelines with Azure DevOps, enabling fully automated deployments and ensuring reliable production releases.
- Developed and integrated Node.js server applications interconnected via MQTT to process real-time data streams from embedded devices.
- Deployed supervision interfaces (ReactJS, Redux) providing full visibility into the status and operation of autonomous shuttles.
- Implemented unit tests (Jest) and produced technical documentation (JSDoc) to ensure quality and maintainability.
- Continuously optimized applications and infrastructure to support a network of mission-critical applications deployed across multiple environments.

Tech Stack:
Kubernetes, Azure DevOps, Node.js, MQTT, ReactJS, Redux, Jest, JSDoc
Kubernetes Azure DevOps Node.js CI/CD DevOps