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About Me

Youssef Moustaid

I'm Youssef Moustaid — a Software & Data Engineer based in Casablanca, specializing in building scalable distributed systems and data-driven solutions. Currently completing my Engineering degree at EMSI with a focus on Software Engineering and Distributed Systems.

With hands-on experience from internships at Marketing Confort (Microservices Architecture), the Multidisciplinary Research Lab (WebXR & Real-time Systems), and World Wide Loyalty System (Data Analytics), I've developed expertise in architecting end-to-end solutions that bridge engineering excellence with business impact.

I excel at designing cloud-native data pipelines, microservices architectures, and real-time analytics platforms — leveraging technologies like Spring Boot, AWS, Apache Spark, Kafka, and Airflow. My approach combines software engineering rigor with data science innovation to deliver production-ready systems.

Certified as an IBM Professional Data Engineer, AWS Cloud Practitioner, and IBM Professional Data Scientist, I bring a comprehensive skill set spanning distributed computing, machine learning, and modern DevOps practices.

Data EngineeringMicroservicesSpring BootApache SparkAWS CloudKafka & AirflowPython & JavaMachine LearningDocker & CI/CDDistributed Systems

Professional Experience

  • Full-Stack EngineerJul–Sept 2025
    Marketing Confort

    Architected 9 Spring Boot microservices with API Gateway, reducing latency by 30%. Implemented CI/CD pipelines and connected services to mobile & CMS platforms.

  • Full-Stack EngineerJul–Sept 2024
    Multidisciplinary Research Lab

    Built immersive WebXR learning platform with real-time WebSockets collaboration. Managed full project lifecycle applying software architecture principles.

  • Data AnalystAug 2022
    World Wide Loyalty System

    Analyzed user data and built interactive dashboards with Google Analytics & SQL, boosting engagement by 15% through predictive analytics.

Education & Certifications

  • 🎓 EMSI (2021–2025) — Software Engineering & Distributed Systems
  • IBM Professional Data Engineer (2024)
  • ☁️ AWS Cloud Practitioner (2025)
  • 🧠 IBM Professional Data Scientist (2024)
  • 🗄️ IBM Relational Database Administration (2025)
  • 🏆 MIT x OpenAI Hackathon — AI Finance Dashboard (2025)

Notable Projects

  • 📊 RetailDataOps — Cloud-native analytics platform with Spark, ETL pipelines, and real-time BI dashboards
  • 🚚 GlobalSupplyChain — Real-time streaming pipeline using Kafka, Airflow & AWS Data Lake
  • 💊 PharmaIQ — Drug shortage prediction with Random Forest, ETL pipeline & Django deployment
  • 🔧 Bricole — Job marketplace with NLP matching, Spring Boot REST API & Docker containerization

Vision & Approach

I build systems that scale — combining data engineering excellence with software architecture best practices. From designing distributed pipelines to deploying production microservices, I focus on delivering solutions that are maintainable, performant, and drive measurable business value. My goal is to bridge the gap between raw data and actionable intelligence through robust, cloud-native platforms.