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Description

Data engineer with over 4 years of experience. I have worked on projects related to data science in the banking sector.

Ready to tackle new challenges and bring my expertise and all my skills to new subjects.

Any mission is welcome as long as there is a challenge to overcome.

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 10km), Créteil (up to 20km)

Fdj United
Data Engineer
May 2023 - Today (3 years and 3 months)
Boulogne-Billancourt, France
As a data engineer, I have supported several teams within the data department on projects. I have joined business teams as well as the datalake team.
Apache Iceberg Kubernetes S3 starburst Dataiku
BNP Paribas
Data Engineer
BANKING AND INSURANCE
June 2019 - December 2022 (3 years and 7 months)
Montreuil, France
Context: Creation of an industrialization platform for Artificial Intelligence models.

Missions:

Participation in the design of Data Science portal components for data visualization via Webapps and API exposure.

Project initiation and development of HMIs with ReactJS.

Development of the Back End part (REST API) with Spring Boot (JAVA Framework)

Development of the Back End part of the "real-time" component of the ML industrialization platform.

Development of a Python Framework composed of various components (real-time, distributed execution, scoring API exposure, ...)

Implementation of a CI (Continuous Integration) Platform for deploying models and pipelines
Python Spark Apache Kafka Cassandra Gitlab Jenkins Hadoop React.js Java Maven Spring boot Eureka Linux oozi
BNP Paribas
Data Engineer
BANKING AND INSURANCE
January 2022 - Today (4 years and 6 months)
Montreuil, France
Context: Development of real-time pipelines for the Fraud Prevention Squad.

Missions:

Support Data Scientists in developing Machine Learning models.

Design of the historical events table model and the person reference table on a Cassandra database.

Production deployment of "Check Cashing Fraud" models for individuals and professionals.

Production deployment of the "Phishing Prevention" model for transfers.

Improvement of end-to-end execution performance to meet processing deadlines.

Implementation of data extraction, transformation, and insertion pipelines (from Teradata to Cassandra via distributed Spark processing)
Python Spark Apache Kafka Cassandra Hive Teradata knox Shell Script Linux Oozie Hadoop XGBoost LightGBM