À propos de 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.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée
Allemand
Notions
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Moet HennessyDevOps EngineerLUXEjuillet 2023 - Aujourd'hui (2 ans et 11 mois)- 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.
- ELCIADevOps EngineerEDITION DE LOGICIELSfévrier 2023 - juillet 2023 (5 mois)- 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'OREALDevOps EngineerLUXEjanvier 2022 - février 2023 (1 an et 1 mois)- 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.
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Formations
- Master of Science 2Supinfo 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 ScienceSupinfo Paris2018• 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
- AWS: Solutions Architect - AssociateAmazon Web Services2019
- AWS: SysOps - AssociateAmazon Web Services2020