Florian Magnien

MRNA Data Continuum is a key initiative enabling end-to-end traceability of strategic materials through a dedicated and scalable Data Product. Key responsibilities & achievements: ▶ Designed and implemented a complete Snowflake Data Cloud warehouse architecture with staging, core, and business layers, following best practices in data modeling. ▶ Built robust data pipelines using SQL, Python, dbt, Informatica Cloud and Airflow to ensure seamless data flow from early research to industrial-scale operations, integrating diverse sources such as PostgreSQL and AWS S3. ▶ Developed a RESTful API data ingestion workflow to retrieve and process data from multiple countries, enabling centralized and standardized analytics. ▶ Defined and deployed data quality KPIs with cross-functional teams, cutting early-stage data issues by 50% and streamlining remediation workflows. ▶ Created real-time monitoring dashboards with Streamlit, significantly improving visibility for business and data governance stakeholders. ▶ Automated CI/CD pipelines with regression testing, increasing deployment reliability and reducing release cycles by 30%. ▶ Maintained comprehensive technical and architectural documentation using Confluence to support team alignment and long-term scalability.

NOVRH develops a full-web, collaborative, and modular suite dedicated to Human Resources and Payroll management for mid-sized businesses. The platform covers all core HR areas: personnel administration, payroll, absences, compensation, and training. Key responsibilities & achievements: ▶ Designed, developed, and optimized stored procedures and data pipelines in PL/SQL to automate HR processes (personnel, absences, compensation), enhancing processing reliability and maintainability. ▶ Built data migration tools to facilitate client onboarding and ensure accurate integration of legacy datasets into the NOVRH platform. Implemented performance tuning strategies, reducing payroll calculation processing time by 25%. ▶ Collaborated with product and client teams to deliver improvements based on user feedback and evolving regulatory requirements. ▶ Investigated and resolved functional and technical issues in client environments, improving system stability and client satisfaction.

Doc Management is a program aimed at modernizing document production processes and promoting digital communication to enhance customer experience and support dematerialization efforts. Key responsibilities & achievements: ▶ Consolidated 100+ diverse customer communication flows into standardized workflows using Informatica and PL/SQL, cutting costs by 50% and improving operational efficiency and service consistency across AXA entities. ▶ Designed and implemented data integration processes with custom solutions that reduced data duplication by 20% and significantly improved data quality. ▶ Automated communication document workflows, reducing processing time and contributing to the company’s digital transformation goals. ▶ Developed reporting tools to enhance monitoring and decision-making for stakeholders. ▶ Ensured production monitoring, incident resolution, and data reliability.

The MOVE project is part of a large-scale program to overhaul and modernize the commercial information system, aiming to manage all B2B customers and offers across SFR Business. Key responsibilities & achievements: ▶ Led the migration of millions of B2B customer and offer records as part of the MOVE program, replacing legacy commercial systems with a unified SFR Business platform to improve operational efficiency and data consistency. ▶ Supervised and trained new team members on the migration project. ▶ Designed, implemented, and optimized ETL workflows using Informatica, Talend, and PL/SQL, achieving 99% post-migration data accuracy. ▶ Optimized SQL queries and ETL workflows, improving pipeline performance and cutting execution times by 80%, for more efficient migration runs. ▶ Delivered corrective and preventive actions to meet service quality SLAs. ▶ Conducted in-depth functional analysis and post-migration data validation.

Techlog is a software solution designed for the analysis and interpretation of wellbore data, enabling oil and gas companies to characterize the subsurface and reservoir fluids. Key responsibilities & achievements: ▶ Developed custom visualization tools to interpret and display client well data. ▶ Enhanced the Techlog user interface to improve user experience, including dynamic window reorganization systems. ▶ Built import tools to facilitate the integration of data from third-party software platforms.