Freelancer profile translated to English.

Description

Data engineer passionate about AI and distributed architectures, I have been involved for over 6 years in projects with high data volumes in the banking, telecom, and industry sectors. My expertise covers the entire Data Engineering chain: ingestion, batch/streaming processing, industrialization, MLOps, CI/CD, and deployment of robust pipelines.

I have led complex projects such as the creation of an intelligent search engine (Azure Cognitive Search), the development of big data pipelines on Spark/Hadoop, and predictive models in industrial maintenance. Accustomed to cloud environments (Azure, AWS), I master tools like Python, SQL, Spark, Docker, Jenkins, Kafka, Hive, NoSQL, as well as deployments via XLR/XLD.

Rigorous, impact-oriented, and comfortable in an agile team, I will help you transform your data into concrete performance levers.

Languages

French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Groupe BPCE
Data engineer Python Azure
BANKING AND INSURANCE
November 2024 - June 2025 (7 months)
Paris, France
Design of the Sherlock search engine (Azure Cognitive Search): backend (FastAPI), filters, sorting, pagination, ingestion (Azure Functions). CI/CD (Jenkins, XLR/XLD). Result: 80% reduction in response time, increased business adoption, and 2x more relevant search.
Microsoft Azure Cloud Python FastAPI Azure Functions XLDeploy
ORANGE
Data engineer
TELECOMMUNICATIONS
March 2022 - November 2024 (2 years and 8 months)
Saint-Quentin-en-Yvelines, France
Design and deployment of Big Data pipelines (Hadoop, Spark) for data use cases at Orange DSI. Development of analytical algorithms and an AI model for anomaly detection. Automation of batch/streaming processing, deployment, monitoring, and alerting. Monthly delivery of KPI indicators for marketing. Impact: performance improvement, 80% reduction in data discrepancies, and strong reliability of production flows.
Spark Jenkins Hadoop Hive SQL
Groupe OCP
Data engineer/scientist
February 2018 - March 2022 (4 years and 1 month)
White House, Morocco
Development of a predictive AI model to anticipate failures from sensor data (temperature, vibration...), with Docker deployment and continuous learning. Design of Big Data pipelines (PySpark, Kafka) and NLP processing to analyze the Moroccan job market (scraping, clustering, indicators). Impact: improvement of predictive maintenance, automation of market analyses, and large-scale valorization of business data.
Python AutoML NLP Spark Elasticsearch