About Amine
French
Native or bilingual
English
Fluent
Experience
- ALCEDIAGData & DevOps EngineerBIOTECHJanuary 2023 - Today (3 years and 5 months)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 ConsultantBIOTECHJanuary 2020 - December 2022 (2 years and 11 months)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 ScientistREAL ESTATEMarch 2019 - September 2019 (6 months)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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Education
- Master in Computer ScienceUniversity of Angers2019Computer science -- Decision Intelligence
Certifications
- AWS Certified Data Engineer – AssociateAmazon Web Services (AWS)2025