Freelancer profile translated to English.

Description

Data Engineer with a dual background in Data Science and Applied Mathematics (Master's, University of Paris Cité), I design and deploy robust data pipelines, from real-time processing to cloud orchestration.

My experience spans various contexts: Kafka/Spark/Cassandra streaming pipeline deployed under Docker, GCP/BigQuery integration for large-scale sentiment analysis, R&D pipeline at EDF Lab (HVAC co-simulation, nuclear power plants), and real-time credit scoring at LCL.

I work across the entire data chain: ingestion, transformation, distributed storage, orchestration (Airflow), and data exposure. Comfortable working independently or in a team, available immediately.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Upwork
Data Engineer
December 2024 - December 2025 (1 year)
• • Mission: determining customer interaction quality (over 35,000 text records)
– Configuring GCP environment for data storage and management.
– Loading and managing databases in BigQuery with Python.
– Sentiment analysis using the RoBERTa Deep Learning model.
– Utilizing Hugging Face for text classification.
• • Mission: Real-time data pipeline (Kafka, Spark, Cassandra)
– Designing a streaming pipeline with Airflow, Kafka, Spark, and Cassandra.
– Real-time data processing via Spark Structured Streaming.
– Distributed storage in Cassandra and automated orchestration.
– Deploying the pipeline with Docker.
GCP Cloud BigQuery Python Apache Kafka Cassandra
EDF Lab Paris-Saclay
R&D Engineer
April 2024 - September 2024 (5 months)
Palaiseau, France
Subject: Co-simulation pipeline for evaluating the reliability of HVAC systems in nuclear power plants.
• • Designing an integration pipeline between PyCATSHOO and an external physical model (FMU/Modelica).
• • Implementing a bidirectional data flow via the FMI standard (I/O variables, binding, XML).
• • Developing reusable and scalable Python modules.
• • Scaling the model from 2 to 4 local instances.
• • Implementing a real-time monitoring component.
Python Numerical Simulation Automation Stochastic Optimization
LCL Banque et Assurance
Data Scientist
May 2023 - August 2023 (3 months)
Paris, France
Subject: Predictive modeling of payment default risk
• • Automating credit risk assessment via a Flask API, reducing manual processing by ~60%.
• • Designing a real-time scoring pipeline for analyzing thousands of daily credit applications.
• • Feature engineering and cleaning of financial data (Pandas, Scikit-learn), improving AUC by +8 pts on existing models.
Python Flask Python Credit Scoring