À propos de Amine
Data Engineer specializing in end-to-end data platform development. I design and build robust, scalable infrastructure for data processing, create efficient and reliable ETL/ELT pipelines, and ensure the delivery of clean, accessible data for analytics and machine learning. I am proficient in the full data lifecycle, from initial system design and data modeling to pipeline orchestration and visualization.
I am seeking a collaborative team tackling complex data challenges, where I can apply my technical skills to deliver high-impact solutions and continue to grow as an engineer
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Lyon (jusqu’à 50 km), Paris (jusqu’à 50 km), Montpellier (jusqu’à 50 km), Toulouse (jusqu’à 10 km)
Expériences
- ALCEDIAGData & DevOps EngineerBIOTECHNOLOGIESjanvier 2023 - Aujourd'hui (3 ans et 5 mois)Montpellier, FranceContext: Project: EDIT-B® Bioinformatics Platform — a medical-grade system for bipolar disorder diagnosis.
- Designed and optimized relational & NoSQL databases for performance, traceability , and security.
- Architected and built robust data pipelines (ELT/ETL) for bioinformatics data
- Built PySpark pipelines for RNA-editing data transformation and aggregation supporting statistical and deep learning models
- Containerized and scaled services with Docker; orchestrated with Kubernetes.
- Developed backends (APIs, services) and frontends (React dashboards) powering clinical workflows.
- Automated deployments, testing, and quality gates via GitLab CI/CD.
- Reduced deployment time by 60% through CI/CD automation
- Improved data-pipeline execution time by 40% via profiling and concurrency.
- Hardened security and processes to meet medical standards (ISO 13485, GDPR).
- Authored standardized procedures/runbooks; coached junior developers and led code reviews.
- Owned production reliability: deployments, monitoring, alerting, and incident response.
Environment: Python (FastAPI, Pandas), PySpark, React, Node.js, Docker, Kubernetes, GitLab CI/CD, Terraform, AWS, PostgreSQL, MongoDB, S3/MinIO, Airflow, RabbitMQ, Celery, Nextflow, SonarQube, Trivy,Dependency-Track, Prometheus, Grafana, ISO 13485, GDPR - DavidsonData Engineer / Data ConsultantBIOTECHNOLOGIESjanvier 2020 - décembre 2022 (2 ans et 11 mois)Montpellier, FranceContext: Project: NeuroDeRisk — European initiative to model drug-induced neurological risks
- Designed and implemented a centralized data warehouse consolidating heterogeneous biomedical data.
- Built automated ETL/ELT pipelines for ingestion, cleaning, and harmonization across partners.
- Developed REST APIs and a full-stack web platform (Flask, React, PostgreSQL).
- Delivered dashboards and exploration tools to support AI/ML workflows.
- Ensured platform security, auditability, and GDPR compliance with end-to-end traceability.
Environment: Python (Pandas, Flask), React, Airlfow , Talend/Knime, Docker, PostgreSQL, REST, Apache Superset,Git, GitLab CI/CD - Groupe QuintesensData ScientistIMMOBILIERmars 2019 - septembre 2019 (6 mois)Paris, FranceContext: CRM migration program: ensured clean, consistent lead data and predictable scoring to improve marketing efficiency
- Built lead scoring models (XGBoost, Random Forest) to prioritize high-potential leads.
- Developed ETL pipelines to ingest, standardize, and validate broker data.
- Implemented data quality checks (missing data, anomalies, consistency rules).
- Streamlined collection workflows to reduce manual effort and errors.
Environment: Python (Pandas, scikit-learn), Talend, Jupyter, SQL Server/MySQL, CI/CD
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Formations
- Master in Computer ScienceUniversity of Angers2019Computer science -- Decision Intelligence
Certifications
- AWS Certified Data Engineer – AssociateAmazon Web Services (AWS)2025