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.
Hello, I'm Zine
Full Stack Developer
Building enterprise platforms with Clean Architecture .NET/Blazor, Azure AD, and Microsoft Graph while deepening Azure data engineering.
Hands-on with ETL automation, real-time stream processing (Kafka, Spark), and ML integration where it delivers measurable value.
2+
Years Experience
8
Featured Projects
18+
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
Clean Architecture, APIs, Azure AD integrations
- 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.
Built enterprise systems with Clean Architecture notably a .NET/Blazor Quality Portal with Azure AD, Microsoft Graph, and SharePoint plus real-time applications and OCR document automation.
Hands-on Azure AD, Microsoft Graph API, and SharePoint work 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.
Products
02
Full Stack Development
Developing enterprise applications with .NET/Blazor Clean Architecture, React, and Node.js. Experience with Azure AD authorization, real-time applications, and document automation via 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.
- 01
Ingest
Extract data from sources, validate schemas, and handle errors early so pipelines stay trustworthy.
- 02
Transform
Clean, normalize, and structure data so business logic has a reliable foundation.
- 03
Model
Apply rules, aggregations, and ML only where they create clear, measurable value.
- 04
Deliver
Serve results through APIs, dashboards, or downstream systems that people can act on.
Value delivered
Featured Projects
Selected work across Clean Architecture enterprise platforms, data engineering, and AI/ML systems
Quality Portal
Industrial plants needed one place to manage certifications, users, and renewal notifications across multiple sites without losing auditability or access control.
Production enterprise certification platform with reliable domain events (transactional outbox), automated SharePoint document filing, and scheduled renewal alerts across a multi-developer team.
Role: Full stack developer architecture, authorization, integrations, notifications, and CI/CD.
.NETBlazor ServerEF CoreWolverineAzure AD+2
Esport Big Data Pipeline
Esports analytics needs continuous ingestion of high-volume game events and near-real-time processing so dashboards stay useful during live competition windows.
A modular, production-oriented streaming analytics platform with live Streamlit monitoring and a clear path from raw Riot events to processed insights.
Role: Designed and built the pipeline architecture end-to-end ingestion, streaming, processing, and monitoring.
Apache KafkaApache SparkDockerPythonStreamlit+1
HR Management Platform
Organizations needed a single system for employee lifecycle operations leave, fleet, licenses, tasks, and documents instead of scattered spreadsheets and manual handoffs.
Production HR platform serving 50+ users; OCR invoice automation cut manual processing time by about 40%, with real-time notifications and searchable document archives.
Role: Full stack development and pipeline automation design.
ReactNode.jsJWTRBACn8n+2
Biometric Attendance System
Multi-site attendance depended on error-prone manual tracking; identity capture and record sync needed to be fast, consistent, and exportable for admins.
Touchless fingerprint verification with sub-second checks, live terminal-to-database sync, and an admin analytics dashboard ready for operational reporting.
Role: Full stack developer backend APIs, hardware sync design, and deployment packaging.
ReactFastAPIMongoDBC# SDKDocker+1
AI-Based OCT Medical Imaging Platform
Ophthalmologists reviewing OCT retina scans needed faster, consistent AI-assisted screening support without replacing specialist judgment.
89% validation accuracy on retinal disease classes; end-to-end screening workflow from scan upload to PDF report in seconds.
Role: Full stack developer and ML engineer model training, inference pipeline, and clinical-facing UI.
ReactFlaskTensorFlow/KerasMongoDBCNN
AgriSmart AI Yield Prediction
Farmers and agronomists needed decision support for crop choice, fertilizer planning, and plant disease identification across many plant types not isolated models behind notebooks.
98% XGBoost accuracy across 22 crop classes; 99% ResNet18 accuracy across 38 disease classes, wrapped in a usable field-decision UI.
Role: Full stack developer and ML engineer tabular/CV models, API, and interactive dashboard.
ReactFastAPIXGBoostResNet18MongoDB+1
Fintness
People logging workouts need a fast mobile tool that stays usable offline and stays typed end-to-end without a heavy backend dependency on day one.
A functional workout tracker with local-first logging, progress history, and a clear path to cloud sync.
Role: Mobile developer full architecture, data models, and UX flows.
React NativeTypeScriptExpoMongoDB
Real-Time Inventory System
Warehouse inventory views lagged behind physical stock movements, so operators worked from stale numbers and slow refreshes.
Cut update latency from roughly 5 seconds to near-instant stock updates across connected clients.
Role: Full stack developer live inventory flows, API security, and containerization.
Node.jsReactWebSocketsDocker
Work Experience
Building enterprise systems, data pipelines, and full-stack applications
Full Stack ERP Developer
Dynamix Services- Architected a modular Clean Architecture Quality Portal (.NET/Blazor) for multi-plant certification management with Azure AD group-based authorization.
- Integrated Microsoft Graph API and SharePoint for certificate document storage; Wolverine transactional outbox with EF Core for reliable domain events.
- Designed and operated an n8n + OCR automation pipeline (extraction → transformation → structured storage), reducing manual data entry by 40%; JWT/RBAC across ERP modules serving 50+ users.
.NETBlazorEF CoreAzure ADSharePointWolverineReactNode.jsn8nOCRJWTRBACFull Stack Intern
Martelli Tunisia- Built a real-time inventory application using WebSockets for live stock updates.
- Delivered a secure API backend with JWT authentication and structured data handling.
- Containerized and deployed the application with Docker.
WebSocketsNode.jsReactREST APIsDockerJWTMobile Developer Intern
Digit Kakushin Soft- Developed a cross-platform leave management app (Flutter) used by 100+ employees.
- Implemented push notifications with 99% delivery rate 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
Apache KafkaApache SparkPySparkHadoopDatabricksGrafanaAzure Data FactorySynapse
Enterprise & .NET
.NETBlazor ServerEF CoreWolverineHangfireAzure ADMicrosoft Graph APISharePointAzure DevOps
Databases
MongoDBSQL Server
Backend
Node.jsFastAPIFlaskSpring Boot
Frontend & Mobile
ReactReact NativeFlutterBlazor
AI/ML
TensorFlow/KerasPyTorchXGBoostCNNResNet18
DevOps & Auth
DockerCI/CDGitHub ActionsJWTRBAC
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 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
ISIMSF
Bachelor's degree in Computer Science and Multimedia
Foundation in software engineering, multimedia, and distributed systems covering enterprise Java, cloud concepts, big data, game development, and AI.
- JEE
- Hadoop
- Cloud Computing
- Big Data
- C
- Unity
- Adobe Illustrator
- Scrum
- AI
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 AssociateIn progress
Microsoft
Data pipelines, storage, and security on Azure
Let's work together on
your next project
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