Freelancer profile translated to English.

Description

As a GCP data engineer, I am an expert in collecting, processing, and analyzing massive data. I master cutting-edge tools and technologies such as Google Cloud Platform, Python, Scala, SQL, Airflow, and data analysis platforms like Hadoop and Spark. My main goal is to help companies make informed decisions by providing them with insights based on reliable and relevant data. I constantly strive to improve my skills to stay at the forefront of developments in the field of data engineering.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Aldoria
Data Engineer
June 2025 - May 2026 (11 months)
Paris, France
Technical project management, including task planning, prioritization, and deliverable tracking.
• Coordination with technical and functional stakeholders to define needs and validate implementation choices.
• Design and development of a SQL log parsing and analysis system in parallel processing (Python, multiprocessing).
• Intelligent extraction of SQL queries and advanced analysis of their characteristics (type, joins, aggregations, tables, users).
• Performance optimization for processing large volumes of logs (multi-process, efficient I/O management).
• Creation of analytical reports with complex visualizations (up to 4 dimensions) for data exploration and decision-making.
• Configuration and automation of data migrations between MySQL and PostgreSQL via Airbyte.
• Writing detailed technical documentation (README, technical docs, user guides).
• Technologies: Python, MySQL, PostgreSQL, Airbyte, pgloader, Jupyter, GitHub
Python SQL PostgreSQL MySQL
SFR
Data Engineer
January 2025 - May 2025 (4 months)
Paris, France
• Translation of functional requirements into analytical data models, consistency tests, and documentation using dbt.
• Design, update, and monitoring of industrialized data pipelines, including ingestion and SQL/Python transformations.
• Audit of existing technical tables and analysis for preparation of updates.
• Update of technical tables for replication preparation.
• Acceptance and validation of replication: testing and verification of implemented processes.
• Definition of functional points for setting up the flow.
• Technical configuration of components (producer and consumer).
• Pair technical testing and validation of batch data transfers.
• Technologies: GCP, SQL, DBT, Hive, Teradata, Python
Python Cloud GCP CI/CD DBT SQL
METRO France
Data Engineer
AGRICULTURE
January 2021 - March 2024 (3 years and 3 months)
Nanterre, France
Ensuring the consistency of the technical architecture via Google Cloud Platform (GCP).
Development of DAGs with Airflow.
Management of conflicts between different DAGs.
Development of DAGs for retrieving and processing information on competitor stores.
Development of DAGs for retrieving weather data.
Management of resources and various services on Google Cloud Platform (GCP) via Terraform.
Creation of data pipelines via Apache Beam using Python.
Execution of Python scripts on Jupyter notebooks.
Writing Cloud Functions in Python.
Automation of processes via Airflow.
Implementation of POCs (Proof of Concept).
Integration of new solutions via GitHub (CI/CD).