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Ala Eddine J.AE

Ala Eddine J.

Python / GenAI / AWS Consultant

EUR 600/Tag
Paris, FR
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Ala Eddine

Senior Python, Data, and AWS Consultant with 10+ years of experience in building scalable cloud solutions, architecting data pipelines, and developing serverless applications. Started as a front-end developer, bringing a full-stack perspective to cloud and data engineering. Passionate about automation, system reliability, and AI-powered applications, including custom AI agents, Retrieval-Augmented Generation (RAG), and fine-tuning LLMs for enterprise use cases.
  • Französisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Arabisch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Paris (bis zu 50 km), Lyon (bis zu 50 km), Lille (bis zu 50 km)

Projekt- und Berufserfahrung

  • ENGIE
    Response - Team Lead
    ENERGIE
    Mai 2023 - Heute (3 Jahre und 1 Monat)
    Paris, France
    Response Team – Ensuring reliable, high-quality data for energy management, real-time monitoring, trading strategy automation, and enterprise-wide dashboards.


    • Delivered an internal RAG (Retrieval-Augmented Generation) interface over FastAPI, enabling other teams to easily integrate LLM capabilities into their applications.


    • Built LLM-powered daily email alerts summarizing key data insights, delivering relevant information to stakeholders in natural language.


    • Led development of a real-time data monitoring dashboard (React, QuickSight), providing key insights across the organization.

    • Architected scalable data pipelines for energy time series data, ensuring efficient ETL and data integrity.

    • Designed and built a REST API (FastAPI, AWS API Gateway) to centralize data monitoring and automate alerts.

    • Managed the Data Hub project, streamlining data organization and accessibility across multiple teams.

    • Developed a trading system for Renewable Energy quant traders, integrating Jupyter, JupyterLab, and Papermill within Docker containers on AWS EC2.


    • Automated trading job scheduling and reporting using AWS EventBridge, Lambda, and S3, generating reports as static web pages.
    Docker AWS EventBridge AWS Lambda Databricks FastAPI
  • ENGIE
    GECO - Sr. Full Stack Python/React
    ENERGIE
    Dezember 2022 - Mai 2023 (6 Monate)
    Paris, France
    GECO is the core contract management REST API for PPA deals within GEM, ensuring contract periods are properly booked, updated, and visible across systems.
    It listens for contract period events and reflects updates in Orchestrade by calling the TAS API, enabling seamless deal processing and migration from legacy tools like Meteor and Trident to a TAS-based setup.

    • Developed new APIs using FastAPI to improve contract period booking and data access.


    • Implemented an alert system for Celery workers, enhancing real-time monitoring and reliability.


    • Led the migration of the application from EC2 to ECS, orchestrating containerization with Docker for scalability.


    • Maintained and enhanced GECO’s React.js back office, ensuring seamless contract management.
    Python ETL TimescaleDB PostgreSQL Databricks
  • ENGIE
    ELLIPSE - Sr. Full Stack Dev
    ENERGIE
    August 2021 - Dezember 2022 (1 Jahr und 4 Monate)
    Paris, France
    Ellipse is ENGIE’s decarbonization intelligence platform, helping organizations measure emissions, design reduction strategies, and track progress. It provides a unified carbon footprint, AI-driven data aggregation, and advanced scenario modeling to optimize decarbonization efforts at a global scale.

    • Designed and built a GraphQL API for the Ellipse ecosystem, enabling seamless data access and integration.

    • Established a centralized monorepo using Yarn Workspaces, Terraform, and Jenkins, improving development efficiency.

    • Implemented an automated CI/CD pipeline with Jenkins, Terraform, and Sonar, streamlining deployments.

    • Contributed to Agile development through backlog management, ensuring fast iteration cycles.
    Node.js Python AWS PostgreSQL React.js

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Ausbildung und Abschlüsse

  • Bachelor's degree, mathematics and computer science
    Université de Kairouan
    2013
    COMPUTER SCIENCE AND APPLIED MATHEMATICS
  • Master SI
    Université de Kairouan
    2014
    Signal processing and computer version

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