Data Engineer & MLOps Enthusiast
Passionate about building scalable, reliable, and production-ready data systems, I specialize in designing end-to-end data platforms combining Data Engineering, Machine Learning, and MLOps.
I have worked on advanced projects such as a Scoring & Fraud Detection Platform (MLOps) integrating real-time streaming, ML models, and compliance automation (KYC/AML), as well as end-to-end ELT pipelines and Big Data analytics systems.
💡 My core expertise includes:
- Real-time data pipelines (Apache Kafka, Spark, Airflow)
- MLOps & model lifecycle (MLflow, Docker, Kubernetes)
- Data quality & governance (Soda Core, monitoring, validation)
- Scalable architectures (batch & streaming)
- Scoring & Fraud Detection Platform (MLOps)
- Real-time pipelines with Kafka + Spark Streaming
- Advanced monitoring & observability (Grafana, Prometheus)
- Advanced MLOps (MLflow, Kubeflow, Feature Store)
- Cloud Data Engineering (GCP / BigQuery optimization)
- LLM integration in data platforms
- Data Engineering & MLOps projects
- Open-source data platforms & analytics tools
- Advanced orchestration with Apache Airflow
- Distributed system design & optimization
- Data pipelines (Batch & Streaming)
- MLOps & ML lifecycle
- Data modeling & architecture
- Fraud detection & scoring systems
| Project | Description | Tech Stack |
|---|---|---|
Plateforme de Scoring Automatisée avec MLOps (All-in-One)  |
Plateforme intelligente, scalable et traçable permettant l'évaluation du risque de crédit (scoring prospects) + l'intégration d’un chatbot intelligent |    -0194E2?style=flat&logo=mlflow&logoColor=white){kind=tracking}    -009688?style=flat){kind=icon}   -000000?style=flat&logo=apachekafka&logoColor=white){kind=icon} |
| Football Data Engineering ( Databricks + Power BI) | Pipeline complet pour analyser les performances footballistiques |       |
| YouTube ELT Pipeline (Airflow + Data Quality) | Pipeline ELT automatisé pour analyser les données YouTube |     |
| Sentiment Analysis API | API REST et page web pour analyse de sentiments via Hugging Face |         |
| Big Data Apps Deployment in Kubernetes | Automatisation du déploiement d’applications Big Data dans Kubernetes |        |
| Kafka Pipeline in Big Data Environment | Création et déploiement d’un pipeline Kafka pour ingestion et traitement en temps réel |     |
| REST API + MongoDB (Django ORM + pymongo) | API REST avec stockage de données MongoDB et WebSockets |      |
| Bank-Account-Application | Application bancaire Java avec Spring Boot, AngularJS et JWT |      |
| Web Chat Application (Java EE) | Chat en ligne avec MVC, JSP et Spring Data JPA |     |
- Database Design & Optimization : Relational & NoSQL schema design, query tuning, indexing, normalization
- ETL & Data Processing : Apache Spark, Kafka, Airflow, data cleaning, transformation, pipeline orchestration
- Machine Learning & AI : NLP models, clustering, classification, predictive analytics (Random Forest, Logistic Regression)
- Automation & DevOps for Data : Kubernetes, Docker, CI/CD for scalable deployments
- Data Visualization & BI : Tableau, Power BI, dashboard creation, KPI monitoring
| speciality | Technologies |
|---|---|
| Data Engineering |          |
| Data Science |            |
| Others (Dev & Frameworks) |             |
- 📫 How to reach me:
- 📱 Connect with me:
- 📝 Feel free to contact me. I am always here ...
