Curriculum Vitae
Clément Denève
Freelance Data Engineer · France / Remote
Experience
Jan 2024 — Present
Remote
Data Engineer
— Freelance- —Led large-scale data migration and integration programs for regulatory platforms, designing ingestion workflows and transformation pipelines
- —Data engineering around Veeva Systems solutions
- —Built data integration pipelines connecting APIs, enterprise databases, Snowflake and ESB-based real-time data streams
- —Implemented cloud and self-hosted Airflow workflows (AWS and on-premise) to support scalable migration and document processing pipelines
PythonSQLAirflowVeevaAWSSnowflakeDocker
Oct 2022 — Jan 2024
IT Consultant
Data Engineer
— Inetum- —IT Consultant for the deployment and integration of Veeva Regulatory One
- —Unstructured data processing in Python: 500k documents parsing, transformation, and metadata extraction workflows
- —Designed and enforced multi-layer data quality frameworks (quantitative validation, sampling-based qualitative checks, traceability controls)
PythonSQLVeevaData QualityETL
Feb 2022 — Oct 2022
France
Data Analyst
— Pierre Fabre- —Development of Python pipelines for data processing and analysis
- —Industrialization of Alteryx workflows
PythonSQLAlteryx
2021
Internship
Assistant Engineer — Industrial Engineering
— Demand2Plan- —Technical and functional integration of legacy and next-generation orchestration systems
- —State-of-the-art review of digital twins in industrial environments
Industrial EngineeringDigital TwinsOrchestration
Education
Grenoble, France
Engineering Degree (Master) Industrial Engineering
Grenoble INP Génie Industriel
- —Exchange semester - AI & Machine Learning Applications · City University of Hong Kong
- —Main project: Generative Adversarial Network — How to train a model to recognise an AI-generated video from a human-generated one?
Hong Kong
Exchange semester - AI & Machine Learning Applications
City University of Hong Kong
- —Maths algorithms for AI, Deep Learning, NLP...
- —Main project: Generative Adversarial Network — How to train a model to recognise an AI-generated video from a human-generated one?
Toulouse, France
Preparatory Classes for Engineering Schools
Lycée Déodat de Séverac
- —PCSI: Physics, Chemistry, Maths, Engineering Science
- —PSI*: Physics, Engineering Science, Maths, Computer Science
Toulouse, France
Scientific Baccalauréat (Bachelor's Degree)
Lycée Stéphane Hessel
Achievements & Projects
Live
Personal Website / Blog
Platform showcasing my projects and knowledge bank to document and share my technical skills.
Next.jsTypeScriptVercel
In Progress
Language Learning App
Mobile app based on spaced repetition and personalized user content to accelerate vocabulary acquisition and retention.
- —AI models integration: subtitle generation, precise translation, content embedding — hosted on AWS
- —Flutter development
FlutterAWSAI / LLMSpaced Repetition
Skills
Dev & Data Tools
PythonSQLGitDockerCI/CDKubernetesAirflow
Cloud & Platforms
AWSVeeva Platform (RIM, PromoMats)SnowflakeOpenAI API Platform
AI Tools
ClaudeGitHub Copilot
Core Competencies
Problem solving mindsetCross-team collaborationKeeping up with emerging tools and technologies
Languages
FrenchC2native
EnglishC2
SpanishB1
Mandarin ChineseA2HSK3