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Description

I help companies migrate and make their data platforms reliable on GCP, without data loss or critical interruption.

I work on sensitive environments where data quality and pipeline stability are essential.

I work in high-stakes contexts (finance, HR, compliance) with high demands for quality, traceability, and reliability.

What I do

• Migrate data systems (databases, pipelines, data warehouse)

• Implement robust and monitored pipelines

• Ensure data reliability and quality control

• Industrialize data workflows (CI/CD, infrastructure as code)

Tech Stack

• GCP: BigQuery, Cloud Run, Cloud Functions, GCS

• Python / Advanced SQL (MySQL, PostgreSQL, DuckDB)

• Terraform, Docker, CI/CD

What I bring

• Reliable pipelines (monitoring, alerting, incident management)

• Secure migrations (tests, rollback, data quality checks)

• Complete autonomy (infra → data → production deployment)

Goal: secure production deployments and prevent data incidents.

Experience / Context

Worked on platforms with:

• Significant data volumes

• Compliance and traceability constraints

• High service continuity stakes

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 40km)

Veolia
Data engineer
ENVIRONMENTAL
July 2022 - Today (3 years and 11 months)
Aubervilliers, France
Design and deployment of a financial web application leveraging group accounting data to identify green activities, in close collaboration with business teams

• Full responsibility for the data & platform layer:
◦ MySQL infrastructure management (Terraform)
◦ Deployments and migrations (Alembic, SQLAlchemy, Bash)
◦ Implementation of backup and incident recovery strategies

• Technical audit of about twenty existing applications:
◦ Migration to newer versions
◦ Implementation of non-regression tests
◦ Implementation of a CI/CD pipeline

• Deployment of HR pipelines
◦ Ingestion via SFTP
◦ Modeling and optimization in BigQuery (120k employees)
◦ Creation of KPIs and dashboards (Looker Studio)
MySQL BigQuery Python Looker Studio AppSheet
Lemniscate
Data engineer
SOFTWARE PUBLISHING
January 2021 - Today (5 years and 5 months)
Paris, France
• Design and operation of end-to-end data products, from data acquisition to production deployment, in a freelance and entrepreneurial context

• Development of data processing pipelines for NLP use cases
(classification, scoring, recommendation)

• Design and deployment of data-driven SaaS solutions:
◦ Candidate recommendation engine for job postings
◦ Community and event management tools for cultural and religious associations
◦ Database supervision and migration management

• Industrialization of ML models:
◦ Inference time optimization
◦ Deployment automation
◦ Management of dev / uat / prod environments
Python PostgreSQL Streamlit Agile methodology API
Summit Gravity
Data Engineer
BANKING AND INSURANCE
December 2021 - May 2022 (6 months)
• Implementation of ETL pipelines for the daily valuation of highly volatile financial portfolios

• Collection and integration of data from external APIs and web sources (scraping)

• Analytical modeling in BigQuery and creation of business KPIs (KYC, ROI, portfolio performance)

• Automation of personalized client reports
Google Data Studio Big Query Google cloud Selenium Pandas