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Patrick K.PK

Patrick K.

Lead Data Engineer

€700/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Patrick

🌟Lead Data Engineer& AI Platform Engineer with over 10 years of experience in Data, AI, and distributed platforms.🌟

🚀I help companies design and industrialize robust, scalable, and business-oriented data platforms: analytics, machine learning, NLP, and GenAI.🤝

I work across the entire data value chain:
• **data ingestion and transformation**,
• batch and streaming pipelines,
• cloud data architectures,
• AI / LLM industrialization,
• visualization and business exploitation.

💡During my assignments, I have worked on complex issues related to:
- **Databricks**,
- **Palantir Foundry**,
- Spark/ **PySpark**,
-AWSand cloud environments,
- real-time pipelines,
- NLP and LLM models,
- large-scale data processing.

In particular, I have contributed to:
• building industrialized cloud data pipelines,
• automating critical data processing,
• implementing analytics platforms,
• developing AI/NLP solutions in production,
• creating data-driven decision support tools.

My profile combines:
• technical expertise,
• architectural vision,
• product experience,
• and the ability to collaborate with business and technical teams.

Main Technologies:
Python • Spark • PySpark • Databricks • Palantir Foundry • SQL • AWS • Kafka • dbt • ElasticSearch • OpenSearch • Docker • Machine Learning •LLMs

Available for:
• Data Engineering missions,
• Data & AI platforms,
• Cloud data architecture,
• ML/GenAI industrialization,
• technical support and expertise.

Ready to bring your data to life?Contact me!📈✨
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Marseille (up to 50km), Bordeaux (up to 50km), Lille (up to 50km), Lyon (up to 50km)

Experience

  • Engie
    Lead Data
    ENERGY AND UTILITIES
    October 2025 - Today (8 months)
    Paris, France
    Design and industrialization of real-time data pipelines for automated invoice processing in a native cloud Databricks environment.
    ✔️ Creation of scalable ingestion pipelines integrating SAP systems and real-time data streams
    ✔️ Development of Databricks Bronze/Silver processing layers with PySpark
    ✔️ Standardization of invoice transformation according to a unified target nomenclature
    ✔️ Improvement of the reliability and automation of financial data processing flows
    ✔️ Collaboration within a dedicated engineering team, in an Agile/Scrum environment
    Databricks PySpark CI/CD SQL Apache Kafka
  • SCOR SE
    Palantir Foundry & Databricks Engineer
    BANKING AND INSURANCE
    December 2024 - October 2025 (10 months)
    Paris, France
    Design and implementation of cloud data pipelines and interactive analysis solutions for reinsurance data processing and visualization.
    ✔️ Design and implementation of scalable ingestion pipelines from relational databases to cloud environments
    ✔️ Creation of Databricks Bronze/Silver data processing pipelines with PySpark and dbt
    ✔️ Development of Gold business transformation pipelines within Palantir Foundry
    ✔️ Integration of Key Performance Indicators (KPIs) and analytical metrics into operational workflows
    ✔️ Creation of interactive dashboards and data applications with Foundry Workshop and Slate
    ✔️ Contribution to architecture and data modeling decisions in a Scrum development environment
    Databricks DBT CI/CD Data Engineering Palantir Foundry
  • eXplain
    Data Science Project Manager
    SOFTWARE PUBLISHING
    June 2019 - October 2024 (5 years and 4 months)
    Paris, France
    Development and industrialization of AI, NLP, and LLM-based features for data-oriented products deployed on AWS.
    ✔️ Design and integration of Natural Language Processing (NLP) and Generative AI (GenAI) features into production applications.
    ✔️ Translation of business needs into scalable data science and AI solutions.
    ✔️ Creation of prototypes and proofs of concept for complex document analysis use cases.
    ✔️ Development of large-scale document processing and semantic search capabilities.
    ✔️ Contribution to AI architecture, model evaluation, and deployment workflows.
    ✔️ Collaboration with multiple Agile engineering teams in a product-oriented environment.

    **AI/ML Use Cases**:

    ✔️ Question-answering systems on large document collections
    ✔️ Automatic summarization and publication calendar generation
    ✔️ Document de-duplication processes
    ✔️ Named Entity Recognition (NER)
    ✔️ Text classification and semantic analysis
    Amazon Web Services API LLM CI/CD Elasticsearch

Recommendations

BT
AM
GB
Berk Tuncel and 2 other people have recommended Patrick

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Education

  • PhD in Computer Science, Computer Science
    University of Bordeaux
    2017
    Docteur en Informatique, Informatique
  • Engineer, Statistics, Data Mining, Big Data, Computer Science
    National School of Statistics and Information Analysis
    2013
    Ingénieur, Statistique, Data Mining, Big Data, Informatique

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