Mohamed-Amine Romdhane

Hi, I'm

Mohamed-Amine

HR Data Engineer @ AXA Partners — building robust data pipelines, creating dashboards, and turning data into decisions.

About Me

Data Engineer with 5+ years of experience, specializing in Python, PySpark, Azure, and Databricks, with growing expertise in the HR domain. Significant experience at AXA Partners, Capgemini (clients: Michelin, DGDDI, SNCF), and Renault Software Factory. I design robust, business-impact-oriented solutions — from production pipelines to decision-making dashboards. Curious, autonomous, and at ease in cross-functional environments.

I also run Arcanum Labs, a mobile app studio where I build privacy-first, offline-first Android apps with Flutter.

Languages

French (Native)English (Full Professional)Arabic (Native)Chinese (Elementary)

Skills & Expertise

Data Architecture
Python
PySpark
SQL
Azure
Databricks
Custom GPTs
NLP
Computer Vision
Docker
Kubernetes
Power BI

Experience

Jul 2024 — Present
HR Data Engineer
AXA Partners

Owning and operating the internal HR datalake on Databricks. Ingesting Oracle HCM data to produce critical HR KPIs (Headcount, Turnover, Absenteeism). Driving automation of Compensation & Benefits campaigns through dedicated dashboards.

Jan 2023 — Apr 2024
Cloud Data Engineer
Capgemini @ Michelin

Designed end-to-end data pipelines for Oracle ERP manufacturing data. Acted as technical advisor for architectural decisions. Mentored a work-study apprentice.

Mar 2022 — Dec 2022
Data Engineer
Capgemini @ DGDDI (French Customs)

Processed and enriched customs data for key performance indicators. Led brainstorming workshops with customs officers to understand operational pain points.

Nov 2021 — Feb 2022
Data Scientist
Capgemini @ SNCF

Trained Computer Vision / Object Detection models on railway station blueprints. Compiled results into a symbol reference guide for operational teams.

Sep 2020 — Sep 2021
Data Scientist / Engineer
Renault Software Factory

Architected an ETL pipeline for vehicle access logs for a B2B car-sharing solution. Built monitoring dashboards and an anomaly detection system. Deployed with Docker, Kubernetes, and Helm.

Jun 2020 — Aug 2020
Data Scientist (NLP)
Inria — Nice

Built an NLP pipeline to detect COVID-related panic signals on social media. Implemented BERT, RNN, and LSTM models with PyTorch and HuggingFace.

Education

Master's in Computer Science
Polytech Nice Sophia
2019 — 2021
Bachelor's in Computer Science
Université Nice Sophia Antipolis
2016 — 2019

Get in Touch

Have a question or want to collaborate? Feel free to reach out.

mohamed@romdhane.fr