Experience

  • JACQUEMUS — Data Integration Engineer & Operations Engineer

    Aug 2024 – Present

    • E-commerce & Retail
    • Talend · Azure · Datadog · Salesforce

    Data Integration

    • Designed and implemented end-to-end Talend ETL pipelines and RESTful APIs enabling seamless data integration across multiple enterprise systems such as Salesforce (e-commerce), ORLI (warehouse management), and the Azure data platform.
    • Partnered with stakeholders to translate functional requirements into scalable data transformation logic, and authored comprehensive technical documentation, including system architecture, data flows, and deployment/recovery plans.

    Cloud & Security Operations

    • Managed and secured Azure resources by implementing IAM policies, SSL, and IP restrictions to maintain an organised and secure cloud environment.
    • Optimised Azure resource utilisation through automated scheduling scripts, saving €1,400 per month while maintaining system reliability.

    Observability

    • Deployed a real-time Datadog monitoring solution with custom dashboards and alerts, significantly reducing the Mean Time to Detection (MTTD) and enhancing observability and reliability across ETL pipelines.
  • OLIVESOFT — Data Integration Engineer

    Feb 2024 – May 2024

    • Customer Service
    • MuleSoft · Salesforce
    • Implemented a fault-tolerant asynchronous integration using MuleSoft API-led architecture to connect Salesforce Service Cloud and the Diduenjoy feedback platform, ensuring reliable data delivery through robust error handling.
    • Chose an asynchronous design so a slow or unavailable downstream platform could never block the service desk, with explicit error handling to guarantee eventual delivery.
  • OEM ENGINEERING S.A.R.L — Data Analysis & Signal Processing Engineer

    Jun 2022 – May 2023

    • Industrial Instrumentation
    • C++
    • Implemented a real-time C++ signal processing Savitzky–Golay filter to reduce infrared data noise, achieving a 100× speedup in preprocessing for metal classification.
    • Developed and trained a Random Forest classifier for accurate metal classification, enabling near-instantaneous analysis.

Education

Certifications

Each certification links to the issuer’s own record of it, or — where the issuer publishes no verification page — to the certificate itself, served from this site.

Online Courses

Course work rather than examined credentials; each entry links to the platform’s record of the completion.