Description

I believe simplicity and robustness are at the core of the best technical solutions. My journey revolves around:

🚀 As the CTO of a retail-focused startup, I lead the development of a high-performing and scalable online sales application tailored to real-world business challenges.

🌟 Significant contributions to Starlake, “Your Integrated Declarative Data Stack”, including automating workflows by generating orchestrator-independent DAGs, providing flexibility and independence to users.

🔧 Expert in data engineering, cloud architecture, and industrialization, with a focus on simplification, performance, and process optimization.

My ambition is to combine technology and simplicity to turn complex challenges into impactful solutions while enriching the open-source ecosystem.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

SOFTNETWORK SAS
Lead Architect GCP @ Natixis Payment Systems (BPCE Group)
BANKING AND INSURANCE
September 2022 - Today (3 years and 8 months)
Charenton-le-Pont, France
Migration from a monolithic ORACLE DWH architecture to a Data services architecture on GCP:

✓ A BigData platform compliant with security and privacy rules (GDPR) offering the tools for preparation, exploration, analysis and learning offering high value-added services in the areas of operational efficiency, fraud and business opportunities (Vision 360)
✓ A platform with first-class services for Business Intelligence, machine learning and data science
✓ Data ingestion with Starlake

Google Cloud Platform (GCP) Big Query Spark Airflow Terraform Dataproc Cloud Run Cloud Composer Starlake
EBIZNEXT
Data Factory on GCP - Cloud Architect
BANKING AND INSURANCE
June 2020 - July 2020 (2 months)
Paris, France
Using Terraform, instantiation of a Cloud infrastructure applied to Google Cloud Platform allowing data ingestion through the execution of spark jobs (Dataproc cluster instantiated by Cloud Composer on a VPC / SC network) based on the Open Source Comet framework Data Pipeline in order to perform the following tasks end-to-end :
✓ Ensure that the submitted data respects the expected format
✓ Straighten the data to normalize them
 

✓ Type data to optimize their storage and access
 ✓ Apply any anonymization rules
✓ Merge the data to ingest with the data previously ingested
 

✓ Display the data in the form of tables to allow their access through the SQL language (BigQuery).
Terraform GCP Dataproc Cloud Composer VPC
MOSAEAT
CTO
E-COMMERCE
September 2018 - Today (7 years and 9 months)
Paris, France
As the CTO, I lead the development of a high-performing and scalable online sales application tailored to real-world business challenges