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Description

I am a Cloud Data Engineer GCP with over 4 years of experience.

I assist clients in building, automating, maintaining, and optimizing their data platforms.

I have experience with Google Cloud Platform, dbt, Terraform, Airflow, Spark, and Kafka.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 10km), Lille (up to 20km)

ADEO/LEROY MERLIN
DATA ENGINEER GCP
RETAIL (LARGE RETAILERS)
July 2025 - Today (1 year and 1 month)
Ronchin, France
Context:
The objective was to assist the CCDP platform teams in publishing their data, primarily on BigQuery, while adhering to the data standards defined within ADEO. This allows consumers to have an alternative to APIs and also highlights indicators for better activity monitoring.

Mission Activities:
Ingestion of data from various sources (API, Kafka, etc.)
Data modeling based on conceptual schemas and business interactions in a Data Mesh context
Design and implementation of robust data pipelines
Implementation of quality rules to ensure the reliability of exposed data
Strong collaboration with data architects and business teams
Writing technical documentation
Preparation and delivery of training workshops

Technical Environment:
GCP, BigQuery, PubSub, Terraform, Data Mesh, Cloud Storage, Cloud Scheduler, SQL, Python, Git, GitHub, Jira, GitBook, Agile SCRUM
Google Cloud Platform (GCP) Terraform SQL Python PubSub
BPCE
DATA ENGINEER GCP
BANKING AND INSURANCE
August 2024 - April 2025 (8 months)
Villeneuve-d'Ascq, France
Context:
The goal is to support the business in processing use cases by implementing data platforms or tools that meet their needs.

Mission Activities:
Ingestion of data from various sources (open data)
Design and implementation of data pipelines in a big data context
Exploration and analysis of data to extract insights
Implementation of industrialization and monitoring of data flows
Making data available for Data Analysts and Data Scientists
Code review and development support
Support for production deployment and usage

Technical Environment:
GCP, BigQuery, Airflow, PySpark, Cloud Storage, Dataproc, Cloud Function, Composer, Vertex AI, Teradata, SQL, Python, Git, BitBucket, Jira, Confluence, Agile SAFE
Google Cloud Platform (GCP) Python SQL Big Query Airflow
Enedis
DATA ENGINEER
ENERGY AND UTILITIES
January 2022 - July 2024 (2 years and 6 months)
Lille, France
Context:
Okoumé is the single repository that produces a consolidated view of the quality of electricity supply perceived by customers, cross-referenced with data available in the network monitoring information systems.

Mission Activities:
Streaming data ingestion with Kafka using Java microservices
Monitoring the operation of Kafka consumers
Design and implementation of data pipelines in a Big Data context
Monitoring, code review, and development support
Support for production deployment and usage
Integration of Machine Learning algorithms using Python scripts

Technical Environment:
Kafka, Spring Boot, Java, Teradata, SQL, Python, Git, GitLab, Shell, Bash, Jira, Confluence, Agile SCRUM
Apache Kafka Python SQL Teradata