Description

Ma formation initiale est celle d'ingénieur en Statistiques et data science. J'ai vite pris goût aux problématiques data générales, en travaillant sur plusieurs projets (data science, data viz, Processing, Data Gouvernance). C'est ainsi que j'en suis arrivé au data engineering, où je peux rapidement comprendre les enjeux métiers et proposer les solutions les plus adaptées

Languages

French
Native or bilingual
English
Native or bilingual
Spanish
Fluent
German
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km), Paris (up to 20km), Nantes (up to km), Rennes (up to km), Le Mans (up to km)

Aldebaran Robotics
Data engineer AWS
TECH
May 2022 - Today (4 years)
Paris, France
- Processing data using pyspark Glue jobs and workﬂows. Cost optimization throughout data pipelines by leveraging partitionning and selecting appriopriate query engines depending on use cases
- Orchestrating AWS to automate the whole pipeline and raise alerts when technical / functional red flags are detected
- Setting up a Data Warehouse, DataMart and Visualisation tool for business teams
- CI/CD and infrastructure as code using Gitlab CI and Terraform
Terraform Gitlab CI Gitlab CI/CD AWS Python
Mc Donald's
Data engineer
RESTAURANTS AND FOOD SERVICE
April 2021 - September 2022 (1 year and 6 months)
Paris, France
• Collection and storage of partner data. Monitoring and alerting for missing
data. Glue crawlers definition and management of the Glue Data Catalog
• Data exploration and data preparation to generate datamarts required by
business. Coordination with business and documentation of defined data
models
• Orchestration of AWS services to industrialize data preparation and generate
datamarts on a regular basis
• Monitoring of Data quality and coherence accross the pipelines, from raw to
processed with definition of crucial metrics
Tasks completed for multiple teams / subjects to monitor their KPIs : prices in
+1500 restaurants accross +1000 products, loyalty program business
performance, sollicitation of technical support by in-restaurant employees and
quality of the trouble shooting operations, evolution of restaurant adherence to
delivery program accross different partners (Ubereats, Deliveroo..)
AWS Python Cloud Amazon Redshift Amazon RDS Amazon DynamoDB Amazon S3
Malakoff Humanis
Data Engineer / Data Analyst
BANKING AND INSURANCE
March 2020 - April 2021 (1 year)
Paris, France
• Anonymisation pipeline definition and industrialisation through python boto3
scripts, DynamoDB, Glue data transformation jobs, data transfers accross
cloud buckets using Airflow
• Data exploration / Data preparation for Data science use cases on Dataiku
and Matillion + Automatisation of the transformations on both ETLs
• python scripts to screen data quality accross data storages on demand
DynamoDB boto3 Python Glue Atlassian JIRA Dataiku Matillion