Freelancer profile translated to English.
Back to original languageAbout Jordan
Through my various experiences, I have oriented myself towards Data Science, a field that fascinates me. My background allows me today to be versatile on Data Science-oriented projects and present throughout the production chain.
I can assist you in several areas: Python development, data science, data management, and data engineering.
French
Native or bilingual
English
Fluent
Can work on-site
Paris 15e Arrondissement (up to 50km), Paris (up to 40km)
Experience
- JCDecauxSenior Data EngineerAugust 2023 - February 2026 (2 years and 6 months)Neuilly-sur-Seine, FranceModern Data Architecture & Lakehouse• Design and implementation of a centralized Data Lake based on the Data Vault 2.0 framework, Apache Iceberg open table format, and AWS GLUE for the data catalog.• Implementation of an architecture ensuring complete traceability of historical data and optimal scalability to meet international audience volumes.Mass Ingestion & Data Excellence• Development and maintenance of complex ETL pipelines for ingesting massive socio-demographic data streams (several million lines per update).• Driving data reliability through the implementation of CLI Data Contracts and automated schema validation.• Integration of rigorous testing suites with Great Expectations and Elementary directly within production pipelines to ensure data consistency.Orchestration Strategy & OLAP Performance• Management of critical workflows under Airflow for the core business, complemented by the deployment of an agile stack under Kestra for start-up needs.• Management of the Airflow migration (version 2.5 to 2.10), optimizing the stability and functionality of core business orchestration.• Optimization of the analytical ecosystem combining PostgreSQL, DBT, and ClickHouse to enable high-performance OLAP analysis.
- ARTUR'INData Engineer & Product Manager (Role)May 2022 - July 2023 (1 year and 2 months)Paris, FranceData Foundations & Architecture:
- • Design and deployment of the company's initial ETL architecture.
- • Implementation of robust pipelines under Python and Prefect to automate the collection, cleaning, and ingestion of heterogeneous data.
- • Autonomous management of the application lifecycle (Dockerization, deployment on AWS EC2/ECR)
Product Management & Discovery- • Lead on the immersion phase with the CSM, Marketing, and Sales departments.
- • Identification of operational friction points and definition of a productivity roadmap based on data exploitation.
- • End-to-end management of the business tool (Back-Office) redesign: user interviews, detailed functional specifications, and UX/UI prototyping under Figma.
AI & Velocity Optimization- • Integration of Artificial Intelligence components (NLP/LLM) for automated content generation.
- • Development of thematic classification tools, significantly increasing the production velocity of writers.
Technical environment: Python, Prefect, AWS (EC2, ECR, RDS, S3), Django ORM and API, Docker, PostgreSQL, Figma, Agile Methodology (2-week Sprints) - SUEZData Engineer & ScientistNovember 2020 - May 2022 (1 year and 6 months)Fraud Detection & Data Engineering
- • Design of an advanced detection engine aggregating heterogeneous data.
- • Cleaning and preparation of massive datasets (including geospatial coordinates, complex consumption histories, and contractual data)
Machine Learning & Anomaly Detection:- • Development of Unsupervised Learning algorithms (clustering and isolation forest) to identify atypical consumption behaviors.
- • Use of geographical proximity to normalize consumption profiles
- • Isolation of statistical drifts with precision.
Technical environment: Python, AzureML, Scikit-learn, MySQL, Azure DevOps (CI/CD), Docker, Pandas, GeoPandas.
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Education
- Master 2 Big Data and Data MiningUniversité Paris 8 Vincennes Saint-Denis2019Cette formation en deux ans vise à former des ingénieurs-experts en Big Data et en Recherche & Développement (exploration, analyse, exploitation et optimisation de grandes masses de données) Les compétences développées allient à la fois de l’informatique, des mathématiques mais aussi des humanités numériques comme la sémantique par exemple : • Concevoir, optimiser, analyser et implémenter des systèmes complexes pour l’extraction de données • Assurer la sécurité des systèmes d’information • Maîtrise des outils informatiques et mathématiques pour l’analyse automatique • Maîtrise des langages de programmation évolués et des algorithmes pour l’analyse de données massives • Capacité de conseil et de formation sur l’élaboration des supports • Capacité à comprendre les besoins et à les analyser en proposant des solutions Mémoire de Master 1 réalisé: « Comment améliorer la lecture automatisée de plaques d’immatriculation ? ». Note obtenue : 17/20 Mémoire de Master 2 réalisé: « Comment améliorer la lecture automatisée de plaques d’immatriculation ? ». Note obtenue : 19/20
- Computer Science Bachelor's DegreeUniversité Paris 8 Vincennes Saint-Denis2016