Freelancer profile translated to English.
Back to original languageAbout Linda
Data Engineer with over 5 years of experience on national-scale programs (Aidants Connect, Conseillers Numériques, INA), I design and industrialize data pipelines, from ingestion to production.
What I bring to your projects:
→ ETL/ELT pipeline architecture and development (Python, PostgreSQL, Airflow, Dagster)
→ Deployment and orchestration on cloud & Kubernetes environments
→ API integration, S3 storage, and data quality management
→ Predictive modeling and automated reporting
Graduated in Mathematics-Computer Science (Sorbonne Université, formerly UPMC), I work on both pure data engineering missions and hybrid data/AI topics.
Sectors: Public Institutions, Audiovisual, Health, Energy
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- INA - Data et TechnologiesData Quality - MDM, AuditPRESS AND MEDIADecember 2025 - April 2026 (4 months)Bry-sur-Marne, FranceContext: Data governance and data quality on a 50 PB lake (30M hours of audiovisual content)Missions:- Design of business anomaly detection/correction tools- Build vs. buy evaluation for data quality tooling- Creation of data governance audit automation pipelines- Management of audits and post-migration data corrections
- France Numérique Ensemble
On Malt
Data Warehouse Maintenance - DataSpacePUBLIC SECTORNovember 2024 - February 2026 (1 year and 3 months)Paris, FranceI design and maintain complex data pipelines for national digital inclusion programs (Aidants Connect, Conseillers Numériques, Coop Numérique, Cartographie nationale).I ensure data quality, reliability, and traceability at scale using Airflow, PostgreSQL, and Python, while automating integration, enrichment, and deduplication processes.Tech stack: Python (pandas, requests, psycopg2), PostgreSQL, Airflow, AWS, Metabase, REST API, pg_trgm, PL/pgSQLKeywords: Data Engineering • ETL • Airflow • PostgreSQL • API • Python • Data Governance • AWS/GCP Cloud • Open Data • Digital Inclusion - Hiring For GoodTechnical LeadHUMAN RESOURCESJanuary 2024 - April 2024 (3 months)Paris, France• Led a team of two developers in the design, development, and deployment of software applications within Hiring For Good.• Designed scalable architectures that met complex business needs, ensuring high code quality and solution maintainability.• Collaborated with multidisciplinary teams to define project scope, deliverables, and improve overall team productivity.
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Education
- Bachelor's degree, Mathematics and Computer SciencePierre and Marie Curie University2020Bachelor's degree, Mathematics and Computer Science
- Master's degree of Vision & Artificial Intilligence, Mathematics and Computer ScienceUniversité de Paris2021Master's degree of Vision & Artificial Intilligence, Mathematics and Computer Science
Certifications
- GDPR WorkshopCNIL2020
- Data Scientist: Data Analysis with PythonUdemy2020