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Description

Software Architect and DevOps engineer for over 4 years.

Rigorous in terms of best practices related to code quality, as well as the application of agile methods.

My areas of expertise are as follows:

- Python, Typescript, PHP, and Java for languages,

- Docker and Kubernetes for orchestration,

- AWS, Azure for cloud

- Gitlab CI, Github Action, for CI/CD

- Zabbix, Grafana, Kibana for monitoring

- Postgresql, MySQL, and MongoDB for databases.

Languages

Arabic
Native or bilingual
English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

L'OREAL GLOBAL BEAUTY TECH
Observability Elasticsearch Engineer
LUXURY GOODS
June 2025 - Today (1 year and 2 months)
Saint-Ouen, France
• Administration and support of ELK
• Administration and support of GCP Infrastructure.
• Implementation of technological bridges to properly route project traces and logs.
• Conduct CPU load tests
• Definition of the migration process to Confluent Kafka
Carrefour
DataOps / DevOps Consultant
RETAIL (SMALL BUSINESS)
June 2024 - June 2025 (1 year)
Massy, France
Within the DataOps Analytics Factory team at Carrefour. In a team of 10 people (8 data scientists & 3 data engineers), the mission was to provide data scientists with model processing tools based on images sent by cameras placed above self-checkout counters to detect fraud cases.

• Implementation of cluster architecture. (One K8S cluster per store)
• Scaling from 10 deployed clusters to 50 clusters.
• Administration and support of ELK, Vector.dev, Prometheus.
• Install/Configure store servers via Gitlab-CI.
• Administration and support of GCP Infrastructure.
• Implementation of technological bridges to properly route project traces and logs.
• Management of Kafka clusters.
• Optimization of legacy environments.
• Management & evolution of the CI/CD pipeline.
• Maintenance and evolution of Kubernetes configurations.
• Audits and load tests on legacy clusters.
• Keep domain documentation up to date.
• Implementation of best practices.
• Administration and N3 GCP support (creation and MCO of Terraform and Ansible).
• Development of GCP Cloud Run Functions.
• Support for DEV and OPS teams for production deployment
• Writing operational documents
Apache Kafka GCP Kubernetes
Netatmo - Legrand
Software/DevOps Engineer
TECH
November 2022 - Today (3 years and 8 months)
Boulogne-Billancourt, France
In a team of 5 people, composed of 3 Devs, 1 Lead, and 1 SCRUM Master, I was responsible for:

1/ Defining a new software architecture for the data extraction project:
- Discussing with project managers to define business needs.
- Writing a specifications document describing the needs reported by project managers.
- Developing an architecture suitable for the business.

- Writing documentation (Class diagrams, detailed system sequence diagrams, database schemas)

- Presenting the solution to the entire backend team (team of 16 people)

2/ Implementing the solution based on the developed architecture:
- Deciding on technical choices with the infrastructure team.
- Breaking down tasks with the Lead Dev.
- Implementing the web service:
* Asynchronous API with n-workers for data extraction from another data service.
* Processing & transformation of acquired data.
* Saving & aggregation of results in Azure Blob Storage.
- Deploying the service in Azure.
- Monitoring & Scaling.

3/ Automating code review:
- Adding rules for accepting commits & MRs.
- Creating templates for commits & MRs.

4/ Adding Alexa & Google Assistant support for new products.

5/ Ensuring the release & monitoring of deliverables.

6/ Migrating Mongo from 3.4 to 4.4.

7/ Creating a development environment for new developers.

8/ Writing documentation for existing services.

9/ Maintaining the CI in operational condition.

10/ Migrating Kafka from 3.6 to 3.7.

11/ Refactoring existing services
Node.js Gitlab CI/CD Apache Kafka Elasticsearch Python