Freelancer profile translated to English.

Description

Passionate about computer science since always, I specialized in data processing on Google Cloud Platform. I am able to intervene on the entire decision-making chain, from data extraction to the creation of Power BI reports, including the framing of a technical team.

I am now at your disposal to help you with your issues related to:

🥇 Data solution architecture on Google Cloud Platform

🥇 Optimizing your data pipelines and the performance of your Power BI reports

🥇 Analyzing and optimizing your Google Cloud Platform pricing

🥇 Implementing development best practices in Data contexts

With my experience as a Tech Lead in a large luxury group, I have easy interpersonal skills, and I love sharing my knowledge around me!

Languages

English
Native or bilingual
French
Native or bilingual
Spanish
Basic

Workplace preferences

Remote only

Primarily works remotely

Saint Laurent
Lead Data Engineer
LUXURY GOODS
November 2021 - Today (4 years and 7 months)
Paris, France
As a Lead Data Engineer, I participated in the construction and technical direction of the entire Data structure of the group:

🥇 Implementation of good development practices for Data Engineer teams, rituals, code reviews, test automation and monitoring
🥇Re-work of the entire architecture of the data services used in the data platform (CICD, IAC)
🥇 Development of the Data strategy
🥇 Creation of tables and views for business teams (SQL via Google BigQuery/DBT)
🥇 Development of data ingestion pipelines via Google Workflow / Composer
🥇 Implementation of the entire infrastructure via infrastructure as code (Terraform)
🥇 Creation of datasets, implementation of cloud services, risk management, pricing management
Google Cloud Platform Big Query SQL ETL Python Airflow Tech Lead API
Groupe Rocher
Data Engineer
FASHION AND COSMETICS
August 2020 - August 2021 (1 year)
Paris, France
Within the Data team, I participated in the implementation and framing of the group's reference Data architecture:

🥇 Development of a "typical" Data architecture (business case, functions, patterns, design principles, solution catalog)
🥇 Collection and benchmarking of the practices of comparable organizations (sector, organization)
🥇 Adaptation of the "typical" architecture through workshops with the project team in order to obtain the reference Data architecture
Google Cloud Platform Big Query PubSub Composer SQL
Karcoa
Data Engineer
EDUCATION AND E-LEARNING
February 2020 - April 2020 (3 months)
Paris, France
Within a human-sized team, I led the implementation of the entire Data stack of the solution:

🥇 Analysis of the need and the existing, migration strategy
🥇 Development of the data ingestion and processing system (GCP Stack)
🥇 Implementation of dashboarding to monitor the evolution of traffic via PowerBI
🥇 Realization of a POC on the technical implementation of an inference model on customer segmentation (Machine Learning)
Google Cloud Platform Big Query Data Engineering Airflow Python