Description

With over 10 years of expertise in designing, developing, and deploying large-scale data solutions, I am a seasoned Lead Data

Engineer who is passionate about driving business growth and enhancing data-driven decision making. I pride myself in my ability to

develop clean code and properly review pull requests. I enjoy sharing knowledge and was a mentor and a big data trainer in my

previous roles. I am a multilingual professional with extensive international experience across multiple industries and cultures. As a

side project, I am currently cofounding a startup with a friend, I play the role of CTO/Architect and product owner.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Naviresto - Saas and CRM for restaurants professionals
CTO
SOFTWARE PUBLISHING
October 2024 - March 2025 (5 months)
Paris, France
Managed a team of full stack developer, designer, and play the role of product owner and architect in thisproject.
Work closely with the CEO on the roadmap, and the strategy to adopt to succeed our data and aiimplementation
Briefed the team on technology risks and suggested ways to apply best practices and avoid commonmistakes
Managed AWS architecture
Kering - Global luxury group
Senior Data Engineer
LUXURY GOODS
June 2019 - October 2024 (5 years and 4 months)
Paris, France
Created a real-time data processing system for high-profile brands, enabling real-time customer experienceanalysis and performance score calculation
Revamped various projects by refining the codebase and tests, addressing discrepancies in keyperformance indicators
Transitioned scheduling tasks from NiFi to Airflow, contributing to the creation of a monitoring dashboard forsystem oversight
Guided data engineers in using Kafka and Spark streaming, imparting best practices for effective usage.
Snef - French Industrial group
Data Engineer
RAW MATERIALS INDUSTRY
January 2019 - June 2019 (6 months)
Marseille, France
Created new systems for data access and management, also transitioned to more modern technologies forbetter collaboration
Established a real-time data pipeline using cutting-edge technology, aiding in quick data processing
Worked side by side with data analysts to provide valuable business insights and trends.