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Description

Data engineer

Ansible, Jenkins, SonarQube, Travis, Docker, Git, AWS, Azure

Kafka, Spark, Hadoop, Hive, Elasticsearch, Logstash, Kibana, Beats, MongoDB, Redis, Qlikview, DataikuTalend, Webmining,

Random forest, K-means,CNN, RNN,LTSM, Arima, XGBoost

Functional Knowledge:

Collection and analysis of needs

Drafting specifications and user guides

User training and support

Facilitation and leading meetings

Agile Method (SCRUM)

Supply Chain

Industry field of expertise

Languages

English
Fluent
Arabic
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Renault
Data Engineer
January 2023 - April 2024 (1 year and 3 months)
Resim ADAS Project

Mission(s) and achievements

- Maintaining the development and maintenance of existing services. The Resim ADAS team is responsible for the virtual resimulation of hundreds of thousands of kilometers of driving data. These resimulations involve processing thousands of TB of data. The ultimate goal is to improve the AI of autonomous cars. These calculations are distributed in a network of a hundred HPCs.
-Migration to GCP
-Maintenance and evolution of existing Resimulation scripts for legacy projects
-Code Review on the rewriting of Perl projects to Python
-CI/CD integration for automation of legacy projects
-Maintenance of internal packages
-Automatic compression/decompression of files before upload/download
-Development of the geolocation labeling process
-Reading and formatting collected GPS data

Environment:
Python, GCS, AWS, S3, NgRemote, Cyberduck, PgAdmin, PgModeler
BPCE-SI
Data Engineer
September 2021 - November 2022 (1 year and 2 months)
Appetence / Disengagement and Green Auto Project
Mission(s) and achievements:
Project: Appetence and disengagement score, auto / consumer credit analysis, exploitation and performance of scores
Industrialization of appetence scores
Industrialization of disengagement scores
Green Auto Project: Vehicle data analysis and categorization of vehicles based on their pollution level (Crit'Air)
Behavioral analysis on customers with an electric vehicle
Prediction of potential customers who can convert their thermal car to electric

Environment:

Dataiku, Ansible, XLD, XLR, Docker, Hadoop (PHG), Oracle, Jenkins, CyberArk, Jira