Freelancer profile translated to English.

Description

I am a Lead Data & Cloud Architect with extensive experience in data and the Azure ecosystem, with strong expertise in designing analytical platforms and enterprise-scale AI solutions. I am involved in architecture, technological choices, and implementation, as well as supporting teams and business stakeholders.

Beyond the technical aspects, I am an open person with a good sense of humor, able to adapt and collaborate effectively with very diverse profiles. I place great importance on teamwork, communication, and sharing, convinced that the best solutions emerge from collaboration and dialogue. I enjoy discussing, explaining, and simplifying complex topics and creating a climate of trust that allows teams to progress together and achieve their goals.

Languages

Chinese
Native or bilingual
French
Fluent
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

GE Vernova
Lead Cloud Data & AI Architect
January 2022 - Today (4 years and 5 months)
Paris, France
As a Lead Cloud Data & AI Architect, I am driving the strategic transformation "From BI to AI", aiming to evolve traditional Business Intelligence platforms towards high-value generative and decision-making AI solutions.

I design and define cloud-native data and AI architectures using Azure Databricks, including Databricks Genie, Vector Search, and RAG (Retrieval-Augmented Generation) architectures, to enable companies to leverage their data in a conversational, contextual, and actionable manner.

My role involves:

Defining the target architecture for the transition from descriptive BI to advanced AI use cases (generative AI, agents, data assistants).
Designing and overseeing end-to-end AI workflows, integrating structured and unstructured data, embeddings, vector search, and agent orchestration.
Leveraging Databricks Genie to democratize data access and enable natural language interactions with analytical platforms.
Implementing RAG solutions based on Vector Search, ensuring reliable, traceable responses aligned with business data and enterprise databases.
Ensuring high standards in security, governance, scalability, and maintainability within complex and regulated data environments.
Supporting technical and business teams as an architecture referent, aligning technological choices with business objectives.
This role enables organizations to move from a static reporting logic to intelligent AI platforms capable of providing contextualized, reliable, and directly actionable insights for businesses.
Azure Databricks Microsoft Azure Artificial Intelligence Engineering Artificial Intelligence
GE
Lead cloud transition data architect
December 2017 - December 2025 (8 years)
Paris, France
Designed and developed end-to-end a scalable, secure, and cost-optimized Azure-based data platform from scratch, ensuring alignment of data solutions with business needs.
Implemented the platform foundations using Azure virtual machines and virtual networks (VNet), ensuring architectural robustness and security.
Designed and implemented data processing pipelines with Azure Data Factory, covering extraction, transformation, and loading (ETL) processes, and defined data flow and collection strategies to improve efficiency and scalability.
Leveraged Azure Databricks for big data analytics, enabling large-scale data processing and accelerating data-driven decision-making.
Administered and optimized Azure SQL Managed Instances for structured data storage and access, providing a managed, high-performance, and secure database service.
Performed regular performance analyses and platform optimizations, resulting in significant improvements in performance and cost control.
Collaborated closely with cross-functional teams to understand their data needs and translate them into functional and technical requirements.
Ensured compliance with data confidentiality and adherence to GDPR and other applicable data protection regulations.
Maintained continuous technological watch on the Azure ecosystem and associated technologies to consistently propose the most suitable and effective solutions for the company.
Microsoft Azure Azure Data Factory Azure Databricks Database Management ETL Processes
Advanced Schema
BI Consultant
July 2012 - December 2018 (6 years and 5 months)
Paris, France
Acted as a customer-facing BI consultant for large enterprise clients, supporting the design and delivery of enterprise analytics platforms.
Translated business requirements into scalable BI and data architecture solutions in close collaboration with business and IT stakeholders.
Delivered hands-on BI development while advising on data governance, performance, and best practices to ensure long-term business value.

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EFREI - French School of Electronics and
Engineering Degree, Information Systems and BI
2012
EFREI - Ecole Française d'Electronique et
Bachelor's degree
东南大学
2009
Bachelor's degree