Wajdi FARHANI

Cross-functional role within Renault’s DevOps team, providing architectural and operational support for cloud projects (mainly GCP), ensuring compliance, security, and deployment efficiency. 🔹 Key Contributions: Designed and implemented standardized cloud architecture patterns across GCP projects. Enforced least privilege access principles and managed GCP IAM policies. Resolved security issues flagged by CloudGuard to ensure compliance with internal policies. Built and optimized CI/CD pipelines (GitLab CI, Cloud Build, Kaniko, Kustomize, Terraform). Provisioned and maintained cloud infrastructure (BigQuery, GCS, Compute Engine, etc.) using Terraform. Provided DevOps coaching: GitOps adoption, SRE principles, code quality, and CI/CD best practices.

Cloud Architect and DevOps Expert with over 10 years of experience leading infrastructure modernization and delivery process transformation projects, with a strong focus on scalability, security, and automation.

🔧 Designed, built, and maintained the company’s cloud data platform on Google Cloud Platform to modernize the data architecture supporting the European used car market. 🔹 Key Contributions: Designed and implemented a Data Mesh architecture (Data Domain Applications) to isolate domains by business function. Managed secure access to a centralized Data Lake with encryption and advanced IAM governance. Integrated Identity Center for AD-to-GCP identity synchronization. Set up shared infrastructure: VPCs, Kubernetes clusters, CI/CD runners, observability and security tooling. Built a fully GitOps-based DevOps platform, automating infrastructure and application deployments via CI/CD pipelines. Defined scalable and secure GCP org policies and infrastructure standards. Promoted GCP best practices across multidisciplinary teams (data, dev, infra).

I supported an organization in the complete migration of its CI/CD platform from GitHub Actions to GitLab CI, with the goal of consolidating tools, gaining better control over pipelines, and streamlining DevOps workflows. ✅ Assessed existing pipelines, dependencies, and security constraints ✅ Designed the target CI/CD architecture within GitLab ✅ Translated and optimized workflows from GitHub Actions to GitLab CI ✅ Set up GitLab Runners, reusable templates, and best practices ✅ Conducted testing, validation, documentation, and team enablement

Architecture, development and deployment of a SaaS chatbot creation tool: ➔ Frontend in Quasar (Vue.js) ➔ The tool is based on a text classification algorithm. ➔ The backend part is composed of 3 services implemented in Python ➔ Storage is done through two databases: MySQL and MemoryStore ➔ The tool is deployed on GCP: Kubernetes Engine (Backend Services), Cloud SQL and MemoryStore

LumenAI is an innovative start-up founded by scientific research experts and specialized in real time machine learning and BigData architectures for industries. * What I am doing: - Lead and participate in intern and extern data science projects. - Data Visualizations. - Web development. * Some intern realizations: - Implementation of an innovative clustering algorithm. - Principal developer and maintainer of the SaaS "Clustering Service Visualization" (http://lab.lumenai.fr/select-file/) - Online real time clustering visualization ( http://www.lumenai.fr/clustering ). - Sysadmin of production servers.

Part-time mission: Data Replication and Synchronization between Google Cloud Platform and PI System. Technologies : GCP, BigQuery, PI System, Python, Django, MySQL

Part-time mission: Implementation of a custom python package for clustering hotel offers.