Freelancer profile translated to English.

Description

Does your data accumulate but struggle to generate ROI?

As a Full-Stack Data Engineer, my role is to transform your raw data into visual steering tools. Whether you are a financial, marketing, or technical director, I put an end to time-consuming Excel exports by delivering automated and reliable dashboards.

My difference: pragmatism and cost optimization. My added value lies in the extreme optimization of your infrastructure costs. Where the market imposes oversized Cloud architectures, I design frugal and tailor-made solutions. For example, I developed Duck Market from scratch, a SaaS platform that analyzes over 22 billion euros of public contracts. This ultra-fast system is hosted for less than 10 euros per month. My goal is not to stack technologies, but to guarantee your profitability.

Here's how I can help you concretely:

Data Engineering: Connecting to your databases and automating the extraction of your flows for continuous updates without human intervention.

Dataviz and Business Intelligence: Designing interactive dashboards for management steering or lightweight mapping applications for your field teams.

Marketing Tech: Ensuring the reliability of your advertising tracking and strictly securing your customer data to boost the performance of your campaigns.

Deployment: Industrializing and orchestrating your flows so that your system or artificial intelligence models are always available.

Do you have a need for automation, analysis, or cost optimization? Let's discuss your project to define the most relevant strategy together.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Montpellier (up to 20km)

Orchestra
Data Engineer
FASHION AND COSMETICS
January 2026 - Today (7 months)
Montpellier, France
The challenge: The marketing department was investing heavily in online advertising but was "blind" to its real effectiveness, as 95% of sales were made in physical stores. My role was to reconcile these two worlds and modernize the data infrastructure.
What I implemented:
Tracking reliability and profitability increase: I enabled marketing teams to measure the impact of their web advertising on actual in-store sales. I built a secure bridge that transmits physical purchases to advertising algorithms daily. Result: much more precise targeting and significantly more profitable campaigns.
Security and GDPR compliance: To carry out this tracking without compromising customer privacy, I implemented an irreversible anonymization system directly at the source. No clear personal data leaves the company.
Infrastructure robustness: Faced with volumes of tens of thousands of sales per day, I architected a batch transmission system. This prevents any server overload and ensures that no transaction is lost along the way.
Dashboard modernization: I automated the collection of web audience data to directly feed the central data warehouse. Decision-makers now have reliable, daily updated indicators without any manual intervention.
Team coordination: I acted as the central technical point of contact to align the external web agency, the marketing team, and the IT department, ensuring that tracking and security standards were respected by all.
Snowflake DBT API AI Automation Git
Groupama G2S,
Data Management Engineer
September 2024 - November 2024 (2 months)
Castelnau-le-Lez, France
The challenge: The management control department was wasting precious time manually consolidating Excel files to track budget evolution. Business Unit (BU) directors received their financial statements several days late, preventing them from quickly adjusting expenses in case of drift.
What I implemented:
Financial automation and time saving: I completely eliminated manual data entry tasks by developing an autonomous system that runs in the background every night. It securely collects and consolidates budget data, allowing management controllers to focus on analysis rather than file retrieval.
Interactive budget management: I replaced old static reports with visual and dynamic dashboards for department heads. They now have a clear, daily updated view of their budget consumption.
Proactive alert system: To avoid end-of-month surprises, I integrated a real-time monitoring mechanism. Directors are immediately notified of any budget overruns or anomalies, giving them the ability to react immediately.
Redhat Python CRM Business Intelligence AI Automation
Skipper Groupe,
Data Engineer
LOGISTICS AND SUPPLY CHAIN
September 2023 - September 2024 (1 year)
Le Pouzin, France
The challenge: In logistics platforms, the routing of transport trucks was done blindly, leading to unnecessary waiting times and costly errors. Teams lacked real-time visibility of available storage space to organize unloading.
What I implemented:
Logistics optimization and productivity gain: I designed an interactive visual tool that maps warehouse storage capacity in real-time. Quay managers can now anticipate arrivals and immediately direct trucks to the correct zone, thereby streamlining all traffic and saving valuable time for handlers.
Reliability of industrial operations: In this sector, a data flow interruption means a truck that doesn't leave. I fully automated and secured the company's data transmission system. I implemented intelligent scheduling: the system self-checks and ensures data accuracy before launching calculations, preventing any paralysis of the shipping chain.
ETL PowerBI Business Intelligence AI Automation API