Freelancer profile translated to English.

Description

🎯IBM Certified Data Engineer & Computer Science Graduate

I work on the entire data lifecycle: ingestion, transformation, orchestration, and optimization, to ensure reliable, automated, and high-performing systems.

💡Key Expertise:

Design & automation of pipelines (Python, Airflow, SQL, PySpark)
Large-scale data cleaning, processing, and preparation
Workflow orchestration & industrialization (CI/CD, DataOps)
Relational & NoSQL databases (PostgreSQL, MySQL, MongoDB, BigQuery)

✅Why me?

Engineering degree + IBM Data Engineering certification
Experience on concrete and complex projects

*Scalable, documented, and results-orientedsolutions

📩 Looking for an efficient and reliable Data Engineer? Let's talk!

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Toulouse (up to 10km), Paris (up to 10km), Nantes (up to 10km), Lyon (up to 10km), Strasbourg (up to 10km)

Kifwat
Data scientist
REAL ESTATE
May 2022 - August 2022 (3 months)
Paris, France
Development of a real estate price prediction model using machine learning.
Automation of the data pipeline: extraction, cleaning, and large-scale data transformation.
Exploration of cloud solutions for data storage and processing.
SQL Python Machine learning Microsoft Excel Database administration
Centre Hospitalier Universitaire de Lille
Data engineer
MEDICAL
September 2023 - December 2024 (1 year and 3 months)
Lille, France
Development and deployment of a diffusion model for MRI image harmonization.
Automation of data pipelines for preprocessing and normalization of medical images.
Use of high-performance computing (HPC) infrastructures and execution on GPU via SSH.
Setup of a Python development environment with PyTorch, leveraging optimization and containerization techniques.
Python Machine learning Artificial intelligence Data Engineer Data science
Freelance
Data engineer
January 2025 - June 2025 (5 months)
Deployment and management of cloud infrastructures on AWS and Azure for web and data applications.
Automation and CI/CD with GitHub Actions and Terraform for optimizing development workflows.
Containerization and orchestration with Docker and Kubernetes for scalable deployments.
Performance monitoring and optimization with Prometheus and Grafana to ensure service high availability.
ETL Microsoft Power BI Python MySQL Data Pipelines