Freelancer profile translated to English.

Description

My initial training is as a Statistics and Data Science engineer. I quickly developed a taste for general data issues, working on several projects (data science, data viz, Processing, Data Governance). This is how I arrived at data engineering, where I can quickly understand business challenges and propose the most suitable solutions.

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 partitioning and selecting appropriate 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 Visualization 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 across 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 across +1000 products, loyalty program business
performance, solicitation of technical support by in-restaurant employees and
quality of the trouble shooting operations, evolution of restaurant adherence to
delivery program across 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
• Anonymization pipeline definition and industrialization through python boto3
scripts, DynamoDB, Glue data transformation jobs, data transfers across
cloud buckets using Airflow
• Data exploration / Data preparation for Data science use cases on Dataiku
and Matillion + Automation of the transformations on both ETLs
• python scripts to screen data quality across data storages on demand
DynamoDB boto3 Python Glue Atlassian JIRA Dataiku Matillion