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Kylian LafleurKL

Kylian Lafleur

Cloud Data Engineer

€430/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Kylian

Data/Cloud Engineer with 4 years of experience in designing and deploying data pipelines and data platforms on GCP and Azure.

I am involved in setting up ingestion pipelines, orchestrating data workflows, and building scalable cloud architectures used by business and product teams.

My recent experiences include:
  • Designing serverless architectures on Google Cloud (Cloud Functions, Pub/Sub, BigQuery)
  • Implementing multi-source ingestion pipelines and orchestrating data workflows (Python, Airflow)
  • Automating infrastructure deployment via Terraform and CI/CD
  • Implementing monitoring and logging for data platforms (Elastic, Cloud Logging)
I work on end-to-end data projects: ingestion, transformation, orchestration, deployment, and monitoring in cloud environments.

Available for remote freelance missions related to data engineering, data pipelines, and cloud architectures.
  • French

    Native or bilingual

  • English

    Conversational

  • Spanish

    Conversational

Remote only
Primarily works remotely

Experience

  • Wewyse
    Consultant Data Engineer
    CONSULTING AND AUDITS
    February 2025 - Today (1 year and 4 months)
    Paris, France

    Mission 1: Internal Chatbot (6 months)

    • Development of an internal Slack chatbot integrated with Google Cloud, used by approximately 60 employees
    • Design of a serverless architecture (Cloud Functions, Pub/Sub, Firestore, BigQuery)
    • Integration of LLMs (Cohere, Groq) with an average response time of 5 seconds
    • Implementation of weekly multi-source ingestion pipelines feeding the chatbot (Confluence, SharePoint, Web)
    • Automation of multi-environment deployments using Terraform
    • Scheduling of automated tasks via Cloud Scheduler
    • Implementation of technical monitoring and log management

    Mission 2: L'Oréal (since September 2025)

    • Design of data flows feeding the adoption tracking of 40 L'Oréal digital products
    • Collection and consolidation of data from various sources (App Insights, Power BI, Cloud Logging, SharePoint)
    • Design of data models (datasets, fact tables, dimensions)
    • Definition of adoption KPIs (unique users, monthly objectives per hub/country/entity/laboratory)
    • Development of Power BI dashboards used by product teams
    • Contribution to the definition of the data architecture
    Google Cloud Platform (GCP) Python Big Query Terraform Data Engineer
  • CRAFT (filiale FinTech Crédit Agricole)
    Data Engineer
    BANKING AND INSURANCE
    July 2023 - December 2024 (1 year and 5 months)
    Paris, France
    • Processing of client financial data and regional cash registers with high volume
    • Development and deployment of data pipelines in multi-environments
    • Containerization of applications via Docker
    • Automation of deployments via CI/CD pipelines
    • Orchestration and daily scheduling of tasks via Airflow
    • Monitoring of systems and applications, with SLA tracking
    • Implementation of an automated alerting system
    Gitlab CI/CD Python API Docker Airflow
  • Business & Decision
    Data Consultant
    CONSULTING AND AUDITS
    July 2022 - June 2023 (11 months)
    Nantes, France
    Mission: Gares & Connexions (SNCF subsidiary)
    • Design and industrialization of data migration and transformation pipelines via Azure Data Factory and Databricks
    • Processing and structuring of several million records (railway and HR data)
    • Feeding databases for analysis
    • Development of operational monitoring dashboards
    • Technical documentation and collaboration in agile methodology
    Microsoft Azure Databricks Microsoft Power BI Python PostgreSQL

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Education

  • Master Data-Science and
    UBS Vannes
    2022
    Master Data-Science et
  • Bachelor's Degree in Computer Science and Data Science
    Université Lyon 2
    2020
    Licence Informatique et Data-Science

Skill set

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