Houdaifa MELLAL

– AWS: Platform Operations & MaintenanceDeployment & Troubleshooting: – Executed the end-to-end provisioning process (VPC, subnets, endpoints, whitelisting) and managed deployment, configuration, and FinOps pipelines. – Infrastructure as Code: Maintained and updated Terraform scripts and IAM policies to ensure secure resource creation and platform stability. – Azure: Service Design & Automation – Offering Implementation: Leading the design of the Azure service offer, replicating the AWS framework (Subscriptions, VNets, Private Endpoints, Workspace configuration). – Automation & CI/CD: Orchestrating the transition from manual CLI/API deployments to fully automated workflows using Terraform and GitHub Actions.

– Working in a Data environment on Azure Cloud, primarily using Data Bricks, Azure DevOps, Data Factory, Azure Functions, Service Bus, and CosmosDB. – Acting as a Data Engineer, responsible for ETL processes, data ingestion, and the creation of DevOps pipelines. – Acting as a Data Scientist, focusing on improving prediction models and alert management rules for fraud detection purposes. – Working on the migration from Microsoft Azure into AWS Cloud.

– Retail Client Project: Deployed an Azure environment using Terraform, built data pipelines, set up DevOps pipelines, and developed Python scripts in Databricks to generate insights visualized in Power BI dashboards. – Geopost Project: Gathered business requirements and proposed a technical solution, including architecture design and task planning. – Client Proposal: Contributed to a bid response by designing a solution leveraging Generative AI to automate existing processes in an AWS environment.

– Development of a fraud detection model on AWS Cloud using image recognition and OCR. – Extracting, transforming, and loading raw data from a retail client into an Azure Cloud environment with Databricks and Data Factory. – Extracting Google reviews from our client and building a BERT model to analyze customer satisfaction.