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Ines GmatiIG

Ines Gmati

Analytics Engineer | Big Data Specialist

580 €/jour
Antibes, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Ines

Data Engineer | Data Analyst | Big Data Specialist

Hi, I’m Ines, an Applied Mathematics and Modelling engineer from Polytech Nice Sophia. With 3 years of experience in the data domain, I specialize in transforming raw data into actionable insights.

I am passionate about leveraging data to solve complex problems and optimize processes. My expertise spans across:
✔ Data Profiling & Quality Analysis – Ensuring clean, reliable, and well-structured data.
✔ Big Data Processing – Implementing scalable solutions to handle large datasets efficiently.
✔ Data Architecture Optimization – Enhancing system performance and reliability.

My goal is to provide the best data-driven solutions tailored to your needs. Let’s work together to unlock the full potential of your data!

Feel free to reach out to discuss how I can help with your projects.
  • Anglais

    Bilingue ou natif

  • Français

    Bilingue ou natif

  • Arabe

    Bilingue ou natif

  • Espagnol

    Notions

Accepte de travailler sur site
Antibes (jusqu’à 50 km)

Expériences

  • Club Nautique de Nice
    Full-Stack Developper
    SPORT
    janvier 2026 - Aujourd'hui (5 mois)
    Nice, France
    - Conception et développement d'une application web interactive pour un but pédagogique.
    - Déploiement du dispositif numérique et maintien.
    Python Cloud computing
  • KM Consulting
    Regulatory Data Analyst
    BANQUE & ASSURANCES
    janvier 2025 - Aujourd'hui (1 an et 4 mois)
    Paris, France
    As a consultant, I am actively involved in updating Pillar 3 templates in compliance with the latest CRR3 regulations, ensuring financial reporting meets regulatory standards.
    SQL Python Alteryx Databricks Microsoft Excel
  • Acri-st
    Data Management Engineer
    octobre 2021 - octobre 2023 (2 ans)
    Grasse, France
    Deployment of operational services: data extraction,
    transformation, analysis, visualization and dashbords
    developement.
    Establishment of production chains, processing, archiving and distribution of satellite imagery.
    Deployement of IPFs (Instrument Processing Facility)
    Monitoring and application of the service level agreement
    Setting up and monitoring of KPIs
    Anomaly detection and application of remediation plans
    Python PostgreSQL SQL Grafana Gitlab Linux Bash VMWARE Portainer Kubernetes

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Formations

  • Master's degree in applied mathematics
    Polytech Nice Sophia Antipolis Biot
    2021
    Master's degree in applied mathematics

Certifications

  • Building LLM Applications With Prompt Engineering
    NVIDIA
    2025

Compétences

Catégories