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Réf PROF00007679

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Ingénieur DevOps/Cloud

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Profil publié le : 19/12/2024 Profil vu : 226 fois Référence : PROF00007679

 
 

Compétences

Expert Moyen Débutant

BDD

InfluxDB Data Redis

Connaissances fonctionnelles

GCP BACKEND Cloud design Performance pipelines RabbitMQ SOFTWARE WEB

Langages

JAVA PYTHON bash C C++ gitlab CI MongoDB Docker Flask NodeJS Pandas Selenium

Méthodes

Architecture DEVOPS integration SCRUM Testing

Outils

GitLab Terragrunt ServiceNow

Réseaux et Middleware

AWS Terraform

Systèmes

GIT LINUX INFRASTRUCTURE

Diplômes et formations

Pays / régions

Expérience professionnelle

Cloud / DevOps Engineer
Veolia Group
 January 2022 – Current ½ Paris, France
• Edge to Cloud - E2C (3 to 5 team members) :
E2C is an on-premise product designed to securely transfer data from
local systems to the cloud.
• Enhanced Version 1 of the project by contributing to its
development.
• Achieved a 70% reduction in weekly ServiceNow ticket creation
through advanced testing and simulations, significantly improving
solution stability.
• Successfully deployed the solution in over 30 global sites across 10
different countries spanning 3 different continents.
• Led the development of Version 2 from the ground up, including
solution architecture design and core development.
• Created Terraform scripts for AWS/GCP resource provisioning.
• Developed the back-end of a user-centric application.
• Implemented CI/CD pipelines on GitLab for continuous integration
and deployment.
• Managed ServiceNow ticket handling.
Keywords: Python, Docker, Terraform, AWS, GCP , Git, GitLab CI,
MongoDB, InfluxDB, Flask, Bash, NodeJS, SCRUM.
Cloud / DevOps Engineer
Sense4data
 June 2020 – November 2021 ½ Bordeaux, France
• Bank Fraud Detection Project (6 team members) :
• Implemented CI/CD pipelines on GitLab, streamlining the software
development process.
• Employed containerization techniques and Docker to automate
streamlined product deployment on AWS infrastructure, ensuring
efficiency.
• Managed and optimized database performance, achieving a 50%
reduction in latency through thorough analysis and optimization
efforts.
Keywords: IA, Python, Pandas, Redis, RabbitMQ, Docker, AWS, Git,
GitLab CI, Bash, Openscoring, SCRUM.
• Sports Competition Results Prediction (5 team members) :
• Developed the back-end component for a sports competition
results prediction application.
• Conducted daily automated web scraping and data handling.
Keywords: Python, Pandas, MongoDB, Selenium, Docker, AWS, Git,
Flask, GitLab CI, Bash, SCRUM.
TRANSVERSAL SKILLS
Motivation Team-work Quick-learning Resilience
Problem-solving Sense of initiative

EDUCATION
Computer Science Engineering
degree
ENSEIRB-MATMECA
 2017-2021 ½ Bordeaux, France
Algorithms and mathematics, Programming
and the IT environment, Internet and
networks, Software design, Big data,
Engineering, languages and culture
Science Preparatory classes
Ibn Tymia
 2015-2017 ½ Marrakech, Morocco
Advanced Mathematics, Advanced Physics,
Chemistry, Computer science, languages and
culture
ONLINE COURSES &
CERTIFICATIONS
• GCP Professional Cloud Architect
Certification
• Micro-services oriented architecture with
Docker and Kubernetes
• Team management and strategic thinking
• Product Road Mapping
TECHNICAL SKILLS
Google Cloud Platform
Amazon Web Service DevOps
Gitlab CI Terraform Docker
Python Bash NodeJS C C++
Java Sql nosql Redis
MongoDB InfluxDB RabbitMQ
Scrapping Pandas Selenium Flask
CLOUD SERVICES
• AWS (Amazon Web Service): S3, IAM,
ECR, ECS, SQS, SSM, Secret Manager,
Lambda, CloudWatch, Iot Core,
Greengrass, Kinesis, EC2, KMS
• GCP (Google Cloud Platform): Compute
Engine, VPC Networks, Cloud DNS, Load
Balancing, IAP, IAM, Cloud Storage, Cloud
function, App Engine, Pub/Sub, Cloud
Tasks, Cloud Scheduler, Sercret Manager,
Cloud Monitoring
 
 

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