Freelancer profile translated to English.

Description

Computer engineer with 9 years of experience, specializing in Data Engineering and industrialization of data platforms, with skills in DataOps, Machine Learning, and Generative AI. Certified Dataiku (4 certifications), I combine advanced technical expertise with a functional vision to design and deploy robust, scalable, and business value-oriented data solutions. Key skills:

1. Design of high-performance and scalable Data solutions on modern data architectures: modeling, ingestion, transformation, and data exposure

2. Implementation of automated and industrialized data pipelines for processing large and multi-source data

3. Mastery of: AutoML, Prompt Engineering, RAG, and LLM exploitation (LLM Mesh, GenAI Agents) on Dataiku

4. Integration of DataOps / DevOps practices: automation, CI/CD, orchestration, and monitoring of data flows

5. Implementation of data governance principles: data quality, traceability, compliance, and consistency

6. Maintenance in operational conditions and continuous improvement of data platforms

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

BNP Paribas
Senior Data Engineer Consultant
BANKING AND INSURANCE
April 2022 - December 2025 (3 years and 8 months)
Montreuil, France
The mission takes place within the ITG A3I team, composed of 7 people, responsible for the operation and analysis of data related to the use of DevSecOps tools for the BNP Paribas group. The team provides dashboards and KPIs to monitor and optimize the adoption and efficiency of these tools. As part of this mission, my involvement covered two distinct projects:
Implementation of an industrialized system for collecting, transforming, and providing data to centralize data from multiple sources for BI purposes
Analysis of KPI needs, modeling, and table structuring
Development of a Python solution for data collection from APIs
Analysis of API feedback and optimization of collection flows
Refactoring code and reducing processing execution times by over 50%
Creation of a REST API with FastAPI for exposing and consuming collected data
Data preparation and transformation on Dataiku
Creation of a classification pipeline in Dataiku using the Naive Bayes Machine Learning model
Process automation: Creation of Jenkins pipelines, scheduling cron jobs on Kubernetes
Process monitoring: Job monitoring, log analysis, and anomaly identification
Scrum Master: Facilitating Agile ceremonies, collaborating with the PO, and coordinating the team
Development and maintenance of a business application and its BI integration chain, ensuring the quality, consistency, and historization of data before analytical exploitation:
Close collaboration with business teams to identify needs
Implementation of SSIS flows
Development of new features and evolutionary maintenance in .NET
Management of application deployments, including change request management, coordination with DBA and OPS teams
Python Dataiku Kubernetes Jenkins LLM
Groupe BPCE
DevOps Consultant
BANKING AND INSURANCE
January 2019 - March 2022 (3 years and 2 months)
Paris, France
The mission takes place within the transformation and strategic projects unit at ITCE in an agile team of 4 people, collaborating with other departments. It focuses on two areas: Azure DevOps Server administration and project industrialization.
Azure DevOps Server Administration:
Development of .Net applications and PowerShell scripts to automate processes
Development of tools to facilitate the migration of builds and task groups
Installation, administration, and supervision of build agents on Windows VMs
Management of Azure DevOps Server components
Implementation of strategies for project migration
Implementation of automated processes for generating KPIs and monitoring development activity from Azure DevOps Server builds
Industrialization and Adoption of a DevOps Approach
Advising and supporting industrialization projects
Implementing CI/CD pipelines
Ensuring coordination between project teams and OPS teams
Defining, maintaining, and promoting good development practices
C# Powershell Azure DevOps Server DevOps SQL Server Management Studio (SSMS)
VEEPEE
BI Development Consultant
E-COMMERCE
January 2018 - December 2018 (11 months)
Saint-Denis, France
The mission takes place in the Special Operations department, within the Process & Tools team, composed of 6 people responsible for auditing business processes to propose and implement appropriate tools. In this context, my mission consisted of developing a Web application that allows La Poste and the SRM team to track parcels and manage investigations.
1. Analysis of Support SRM data.
2. Creation of dashboards in QlikSense
Development of ASP.NET with Hangfire for background job execution and scheduling.
3. Integration of QlikSense into the Web application.
4. Use of the MVC pattern, creation of HMI views.
5. Display management: HTML5, CSS3, jQuery, Ajax.
6. Writing technical documentation
C# ASP.NET MVC QlikSense SQL Server Hangfire

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