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Malt Strategy
Simon V.SV

Simon V.

Data Engineer

€500/day
Nice, FR
3-7 years
Python
Scala
SQL
Databricks
Spark

Average response time: 1 hour

About Simon

Data Engineer with 4+ years of experience designing, building, and optimizing production-grade data platforms on Azure and Databricks. Specialized in scalable ETL pipelines, real-time data processing, and analytics solutions using Python, Scala, Spark, Kafka, and SQL. Passionate about delivering reliable, high-performance data solutions that enable business insights and data-driven decision making.

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Nice (up to 50km), Lyon (up to 10km), Paris (up to 10km)

Experience

  • Amadeus - Travel Intelligence
    Data Engineer
    TRAVEL AND TOURISM
    June 2025 - Today (1 year and 2 months)
    Nice, France
    - Developing a Kafka streaming pipeline that processes around 800 shopping events per second to support real-time travel demand insights.
    - Developed PySpark data pipelines on Databricks to compute passenger traffic insights (top 10 origin cities/countries) by destination and time grain, processing 635M+ bookings.
    - Migrated legacy Perl/SQL processing rules to PySpark on Azure, achieving a 55% rules reduction and reducing operational complexity for production runs.
    - Orchestrated and scheduled Spark pipelines in Azure (Synapse, Airflow), ensuring stable, on-time production executions.
    - Designed and implemented Jenkins-based CI/CD for PySpark data products on Databricks, streamlining automated, reliable deployments.
    PySpark Microsoft Azure Python Databricks SQL
  • Amadeus - Hotel Business Intelligence
    Data Engineer
    TRAVEL AND TOURISM
    February 2022 - May 2025 (3 years and 3 months)
    Nice, France
    - Reduced booking data extraction runtime by 95% by re-engineering a legacy C++ process into Spark/Scala on Databricks.
    - Developed and maintained production ETL pipelines for market KPIs used by internal stakeholders and external clients, strengthening pipeline reliability and data quality.
    - Migrated legacy Spark/Scala data pipelines to Microsoft Azure, improving BI report query performance and data access.
    - Built a backfill/reprocessing workflow to resolve data discrepancies and restore data completeness.
    - Built a configuration-driven email delivery process for market insights reports, supporting multiple file formats and delivery frequencies.
    - Deployed and optimized an AI model on Azure to generate booking forecasts used in market insights reports.
    - Defined Prometheus monitoring rules for pipeline incidents, improving failure detection and reducing delayed report deliv eries.
    - Documented workflows, processes, and architecture to facilitate knowledge sharing and mentorship of newcomers.
    Microsoft Azure Databricks Spark Scala SQL
  • Capgemini - Innovation Division
    Machine Learning Intern
    March 2021 - August 2021 (5 months)
    Lyon, France
    - Built and optimized an object detection model, leveraging computer vision algorithms to boost identification accuracy and performance.

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Education

  • Licence Informatique
    Université Claude Bernard Lyon 1
    2019
  • Master 2 Data Science
    Université Claude Bernard Lyon 1
    2021

Skill set

Microsoft Azure
Git
Azure Databricks

Categories