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Hello, I'm Zine

Full Stack Developer

Backend and API foundations paired with hands-on ETL and automation pipelines, now focused on Azure data engineering.

Building reliable data flows from extraction and transformation to structured storage while integrating ML where it delivers measurable value.

Zine eddine Louati
5+
Years Experience
7
Featured Projects
12+
Technologies

About

Building reliable systems at the data & product intersection

Tunisia, open to relocation
  • Data platforms

    ETL pipelines, Azure Data Factory, structured storage

  • Backend systems

    APIs, enterprise modules, automation at scale

  • Next focus

    DP-203 certification and deeper Azure data engineering

Full stack developer with a strong backend and API foundation, progressively specializing in data engineering and Azure-based data platforms.

Experience delivering modular enterprise systems ERP modules, real-time applications, and document automation has shaped a practical understanding of how operational data is produced, transformed, and consumed.

Work with Azure AD, Microsoft Graph API, and SharePoint in enterprise contexts provides a natural bridge into the broader Azure data ecosystem (Data Factory, Databricks, Synapse).

Currently deepening Azure data engineering skills and pursuing the DP-203 Data Engineer Associate certification.

What I do

Three lanes that connect data to products

Specialized in building data-driven systems that bridge backend infrastructure, data pipelines, and user-facing applications.

View My Work
Pipelines

01

Data Engineering & Pipelines

Building scalable ETL pipelines and data workflows with Azure Data Factory, Databricks, and modern orchestration tools. Focus on reliable data ingestion, transformation, and structured storage.

Products

02

Full Stack Development

Developing enterprise applications with .NET/C#, React, and Node.js. Experience with modular ERP systems, real-time applications, and document automation integrated with Microsoft Graph and SharePoint.

Intelligence

03

AI/ML Integration

Integrating machine learning capabilities into production systems. Practical experience with Azure AI services, computer vision applications, and bringing ML models into operational data flows.

My Approach

A clear path from data to value

Four stages I walk every project through — focused on quality, reliability, and outcomes you can measure.

  1. 01

    Ingest

    Extract data from sources, validate schemas, and handle errors early so pipelines stay trustworthy.

  2. 02

    Transform

    Clean, normalize, and structure data so business logic has a reliable foundation.

  3. 03

    Model

    Apply rules, aggregations, and ML only where they create clear, measurable value.

  4. 04

    Deliver

    Serve results through APIs, dashboards, or downstream systems that people can act on.

Value delivered

Featured Projects

Selected work demonstrating full-stack development, data engineering, and enterprise system integration

Esport Big Data Pipeline project preview

Esport Big Data Pipeline

Esports analytics requires ingesting and processing high-volume, real-time game data at scale.

Apache KafkaApache SparkDocker+3
Fintness project preview

Fintness

People tracking workouts need a simple, fast mobile logging tool.

React NativeTypeScriptExpo+1
HR Management Platform project preview

HR Management Platform

Organizations need a unified system to manage the full employee lifecycle and daily HR operations across multiple functions.

JavaScriptPythonReact+2
AI-Based OCT Medical Imaging Platform project preview

AI-Based OCT Medical Imaging Platform

Clinical OCT image review required faster, consistent screening support without replacing specialist judgment.

PythonCNNTensorFlow/Keras+1
AgriSmart AI Yield Prediction project preview

AgriSmart AI Yield Prediction

Agricultural decision support needed reliable crop yield estimation and disease classification across many plant types.

XGBoostPyTorchResNet18+1
Biometric Attendance System project preview

Biometric Attendance System

Attendance tracking across sites required reliable identity capture and consistent synchronization of records.

ReactFastAPIMongoDB+3
Real-Time Inventory System project preview

Real-Time Inventory System

Inventory views lagged behind physical stock movements, limiting operational responsiveness.

WebSocketsREST APIsDocker

Work Experience

Building enterprise systems, data pipelines, and full-stack applications

  1. Full Stack ERP Developer

    Dynamix Services
    • Developing a modular ERP covering HR, fleet, and document tracking with React dashboards and Node.js REST APIs.
    • Designed and operated an n8n + OCR automation pipeline (extraction → transformation → structured storage), reducing manual data entry by 40%.
    • Implemented JWT authentication with role-based access control (RBAC) across ERP modules.
    ReactNode.jsREST APIsn8nOCRJWTRBAC
  2. Full Stack Intern

    Martelli Tunisia
    • Built a real-time inventory application using WebSockets for live stock updates.
    • Delivered a secure API backend with authentication and structured data handling.
    • Containerized and deployed the application with Docker.
    WebSocketsNode.jsREST APIsDocker
  3. Mobile Developer Intern

    Digit Kakushin Soft
    • Developed a cross-platform mobile application with Flutter.
    • Integrated push notifications and connected the client to a Spring Boot backend.
    FlutterSpring BootPush Notifications

Skills & Technologies

Technical expertise across data engineering, backend systems, and full-stack development

Data & Cloud

Azure Data FactoryDatabricksSynapse

Databases

MongoDBSQL ServerEF Core

Backend

Node.jsFastAPIFlaskSpring Boot.NET

Frontend

ReactReact NativeFlutterBlazor

AI/ML

TensorFlow/KerasPyTorchXGBoostCNN

DevOps

DockerCI/CDAzure DevOpsGitHub Actions

Auth & Enterprise

Azure ADMicrosoft Graph APIJWTRBAC

Learning path

Education

From foundations to data engineering — building the stack behind reliable systems.

Sept 2023 – June 2026
IU

Iteam University

Computer Engineering

Big Data & Business Intelligence

Computer Engineering graduate specializing in data platforms, analytics, and Azure-oriented data systems.

Focus coursework
  • Big Data architectures and processing
  • Business Intelligence & reporting
  • Data modeling & warehouses
  • Applied ML for decision support
  1. ISIMS Sfax

    Bachelor's in Computer Science and Multimedia

    Foundation in software, multimedia, and distributed systems — from JEE and cloud concepts to AI and Scrum.

  2. El Alia High School

    High School Diploma in Computer Science

    Early focus on computer science and problem-solving fundamentals.

Outside the IDE

Beyond the Code

Teams, clubs, and habits that shaped how I collaborate and stay consistent.

Sports

Member

El Alia Sports Team

Years of team training and competition — building discipline, stamina, and the habit of showing up.

Academic

Member

Microsoft Club, ISIMS

Active in a campus tech community — workshops, peer learning, and early exposure to Microsoft tools.

Credentials

Certifications

Formal proof points for the stack I build with — cloud, data, and engineering depth.

  • DP-203

    Azure Data Engineer Associate

    Microsoft

    Data pipelines, storage, and security on Azure

Let's work together on
your next project

Open to Full Stack and Data Engineering opportunities with ESNs and enterprise teams. Prefer email for first contact.

Get in Touch
Location
Tunisia, open to relocation