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Dickson D.DD

Dickson D.

DevOps

€833/day
Draveil, FR
3-7 years
Python
Amazon Web Services
Docker
Kubernetes
Terraform

Average response time: 1 hour

About Dickson

Architecte cloud possédant 13 certifications dont 9 sur AWS, 1 sur GCP et 1 sur Azure. Je spécialisé dans la création et l'implémentation d'infrastructure cloud dans les domaines du DevOps, du Big Data et du Machine Learning notamment sur AWS.

  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

  • German

    Basic

Remote only
Primarily works remotely

Experience

  • Moet Hennessy
    DevOps Engineer
    LUXURY GOODS
    July 2023 - Today (2 years and 11 months)
    - Reduced cloud security issues from 20 to 0 using Wiz by implementing best practices.
    - Supported cloud operators in LVMH standards through:
    - Developing Terraform modules.
    - Conducting workshops.
    - Managing IAM access.
    - Developped and deployed 8 fully automated service requests on servicenow with catalog builder and integration hub
    - Automated user management and project creation in GitLab and Active Directory via ServiceNow.
    - Standardized 900+ GCP projects and decommissioned unused resources for FinOps compliance.
    - Monitored GKE applications with Dynatrace and automated dashboards with Terraform.
    - Troubleshot GKE issues (pod failures, certificate problems, network policy updates).
    - Established global logging and monitoring strategy on Azure and GCP.
    - Set up CI/CD pipeline for automated website creation on GKE.
  • ELCIA
    DevOps Engineer
    SOFTWARE PUBLISHING
    February 2023 - July 2023 (5 months)
    - Created Azure landing zone, designing infrastructure with Lead DevSecOps using Terraform, including comprehensive documentation.
    - Developed high-level design (HLD) and implementation of network resources (VNet, ExpressRoute, firewall, etc.) with tagging policies for FinOps and budget alerts.
    - Automated subscription and management group creation.
    - Established standard CI/CD pipeline for development teams using GitHub Actions and Azure DevOps, incorporating:
    - Gitleaks for credential protection.
    - Terraform for deployment.
    - Blue/green deployment for web apps.
    - Container deployment on AKS.
    - Implemented PaaS with AKS, including:
    - HLD and Terraform-based cluster creation.
    - Rancher for cluster management.
    - Automatic upgrade policies and service mesh with Linkerd.
    - Helm charts for resource management and security.
    - Ingress with Nginx and integration with Key Vault.
    - Cluster node autoscaling.
    - Implemented Datadog for monitoring, focusing on golden signals, log retention, and app onboarding standardization.
    - Migrated DNS to Azure and provided knowledge transfer to developers on Azure, Docker, and Kubernetes best practices.
  • L'OREAL
    DevOps Engineer
    LUXURY GOODS
    January 2022 - February 2023 (1 year and 1 month)
    - Created dashboards in Data Studio to analyze MongoDB billing, utilizing BigQuery for data storage and Cloud Run to fetch and format data from the MongoDB API.
    - Built and maintained APIs for managing group members in Cloud Identity and interfaced with servicenow form.
    - Designed a Disaster Recovery architecture for L'Oréal's data section in GCP.
    - Presented a retrospective on MongoDB's pros and cons for L’Oréal.
    - Developed a global service for granting permissions in GCP using Apigee with a zero-trust approach.
    - Designed a reporting system to analyze organizational policies, storing data in BigQuery and generating reports via Data Studio.
    - Implemented an alerting system for monitoring forbidden IAM role grants.
    - Automated service account key rotation across the organization and interface it with servicenow formular.
    - Created an application for granting temporary access to GCP groups or GCS buckets, exposed as an API via Apigee with a zero-trust design and interfacing it with servicenow form.
    - Built all applications using Terraform, Python Cloud Functions/Cloud Run, with Cloud Build as the CI/CD pipeline and GitHub triggers.
    - Migrated a Python job from Azure VM to GCP Cloud Run, including:
    - Updating the Docker image and script clarity.
    - Building the GCP stack with Terraform and designing the HLD.
    - Conducting knowledge transfer on the legacy job.
    - Migrated an API from Azure VM to GCP Cloud Run using FastAPI, involving:
    - Code cleanup, testing, and CI/CD deployment on Apigee.
    - Transitioning from Flask to FastAPI and building the stack with Terraform.
    - Providing knowledge transfer on FastAPI and its async capabilities.
Check out Dickson's experience

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Education

  • Master of Science 2
    Supinfo Paris
    • Création d'applications avec Docker et Kubernetes. • Utilisation du cloud AWS • Classification d'images avec le framework tensorflow 2 • Création d'une solution Big Data avec Spark/Hadoop • Utilisation de python et de R pour analyser et comprendre des données • Création d'une blockchain • Pilotage de projet avec la méthode SCRUM
  • Bachelor of Science
    Supinfo Paris
    2018
    • Apprentissage de la programmation • Apprentissage de la gestion, de l’optimisation et de la programmation sur des bases de données SQL • Utilisation de LISP pour acquérir des connaissances de base sur l’IA

Certifications

Dickson's certifications are only visible to Malt Community members

Skill set

JavaScript
GO
Architecture web
Cloud computing
Architecture SI
cloud
Cloud Engineer
Google cloud
DevOps
Django
graphql
API
Node.js
AngularJS
PostgreSQL
Vue.js
Gitlab
Ansible
PHP
MySQL
HTML5
CSS3
jQuery
Wordpress

Categories