Achraf D.

Context: As a Cloud & IoT Data Engineer Freelancer at McPhy, I've been actively involved in enhancing the company's industry 4.0 services, collaborating closely with the development and research team. Realization:

Configured data gateways: Implemented data gateways to seamlessly collect data from hydrogen stations and electrolyzers, storing it securely in the Azure Cloud. Designed McView microservice: Led the design and development of a microservice for McView, ensuring it meets customer requirements and aligns with the company's strategic vision. Built, tested, and deployed APIs: Utilized Azure Function and Docker imagery and containers to build, test, and deploy APIs, streamlining the development process and enhancing efficiency. Resolved critical issues: Effectively resolved critical issues that arose on-site, mitigating potential problems and ensuring the smooth operation of Data Collection. Led and guided colleagues: Demonstrated strong leadership skills by guiding and mentoring colleagues in various projects, contributing to successful outcomes, and fostering a collaborative work environment.

Technical environment: Python, FastAPI, JavaScript, AZURE Function, PowerBI, Jira, Bitbuckets, Docker, Kubernetes, CosmosDB, MongoDB, Flask, Azure VM, Azure Blob Storages, Azure Data Factory, Grafana

Context: As a data cloud consultant at McPhy, I've been actively involved in enhancing the company's industry 4.0 services, collaborating closely with the development and research team. Realization: Upgraded existing architecture: Spearheaded the upgrade of the company's architecture to a dynamic IoT-aligned model, ensuring alignment with industry 4.0 principles. Configured data gateways: Implemented data gateways to seamlessly collect data from hydrogen stations and electrolyzers, storing it securely in the Azure Cloud. Designed McView microservice: Led the design and development of a microservice for McView, ensuring it meets customer requirements and aligns with the company's strategic vision. Built, tested, and deployed APIs: Utilized Azure Function and Docker imagery and containers to build, test, and deploy APIs, streamlining the development process and enhancing efficiency. Resolved critical issues: Effectively resolved critical issues that arose on site, mitigating potential problems and ensuring the smooth operation of Data Collection. Led and guided colleagues: Demonstrated strong leadership skills by guiding and mentoring colleagues in various projects, contributing to successful outcomes, and fostering a collaborative work environment. Developed full-stack web application: Leveraged React.js for the front end, Flask for the server part, and MongoDB as the database to develop a full-stack web application, showcasing expertise in various technologies. Technical environment: Python, FastAPI, JavaScript, AZURE Function, PowerBI, Jira, Bitbuckets, Docker, Kubernetes, CosmosDB, MongoDB, Flask, React, Azure VM, Azure Blob Storages, Azure Data Factory

=>Contexte : Design de nouveaux objets connectés pour la domotique. =>Réalisation: Mettre à jour l'architecture et les fonctionnalités de passerelle KNX/IP (Kloud'NX). Design d'un nouveau haut-parleur KNX connecté (Speak'NX). Build and Run de tous les codes de la partie logique de SpeakNX après les testes des modules Bluetooth,BLE et WIFI. =>Environnement Technique: MEAN Full Stack, Node-Red, Bash, Docker, C/C++, Scaleway, InfluxDB, OpenVPN.