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Marc GiannuzziMG

Marc Giannuzzi

ML Engineer

€660/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Marc

🎯 AI Data Engineer

I am passionate about data engineering and machine learning, with extensive experience in developing artificial intelligence solutions and managing large amounts of data for leading companies in the energy, fintech, and digital sectors.

🎓 Education:
Graduated in Computer Science, Big Data and Connected Objects from ESILV (École Supérieure d'Ingénieurs Léonard de Vinci) with a specialization in Data Science, I also enriched my skills at the University of California Riverside (UCR) in Data Mining and Machine Learning.

💡 My Goal:
To provide data-driven and innovative solutions to transform data into strategic levers and help companies overcome their technological challenges.

🔗 More Info:
GitHub (
Blog (
Personal Website (
  • English

    Fluent

  • Chinese

    Basic

  • French

    Native or bilingual

Can work on-site
Paris (up to 10km)

Experience

  • SFEIR
    Data Architect
    March 2025 - September 2025 (6 months)
    SFEIR is a French company, the leading Google Cloud Platform GCP partner (Services 2023, Training 2024, EMEA 2025), specializing in software development and technological support for businesses. It helps its clients create web, cloud, mobile, or data applications using modern technologies.

    • Recruitment of technical profiles: Data Engineers - Data Scientists - ML Ops - Devops - Fullstack
    Google cloud
  • LCL
    Data Architect
    BANKING AND INSURANCE
    March 2025 - September 2025 (6 months)

    Objective:
    Optimize the internal organization of the SNI entity and implement analytical dashboards for its Executive Committee and other squad leaders. The challenge was to consolidate data from different sources, orchestrate and automate their processing through a scalable and maintainable architecture.
    Work done:
    • Audit of the existing IS: analysis of the stacks in place (databases, scripts, tools), comparison of PostgreSQL, MongoDB, Teradata.
    • Hybrid technical architecture (on-premise first, comparison and proposals for GCP Cloud equivalents):
    o Kubernetes orchestration of Dockerized Python scripts.
    o Storage via PostgreSQL (analytical mode) and S3.
    o Design of data schemas (tables, columns, indexes).
    • Technology selection & automation:
    o Selection of Python libraries (pandas, SQLAlchemy…).
    o Integration of Jira APIs and other software packages into pipelines.
    • Dataviz: dynamic Power BI dashboards for the Executive Committee.
    • Technical supervision: collaboration with 2 data engineers and 1 PO, technical review and implementation support.
    • Security & documentation: best practices, centralized documentation in Confluence (architecture, code, guides).
    Key challenges:
    • Automation & industrialization of processing.
    • Standardization of the data chain.
    • Improvement of strategic visibility through consolidated KPIs.
    Microsoft Power BI Python PostgreSQL Kubernetes Elastic Stack (ELK)
  • ENGIE SA
    Consultant - Data Engineer
    ENERGY AND UTILITIES
    February 2023 - January 2025 (1 year and 11 months)
    Paris, France
    ENGIE is the leading provider of natural gas and green electricity, as well as the third largest global group in the energy sector.

    Data Engineer as part of the agile team (5 people) developing the products Mon Bonus Engie / Ecodefi+, ICE (Impact Carbone Elec) and Ecogestes Dynamiques evolving within the SAFe framework.
    - Ecodefi+ is a free service offering individuals rewards for their energy sobriety during challenges (300k customers).
    - ICE allows customers to analyze future carbon consumption peaks and adjust their consumption accordingly (1M customers).
    - Ecogestes Dynamiques helps explain the impact of electrical appliances in homes (1M customers).

    https://particuliers.engie.fr/electricite/contrat-electricite/mon-bonus-engie.html
    https://particuliers.engie.fr/decouvrir-espace-client/application-mobile/meteo-carbone-elec.html

    • Product development
    • Large-scale data management (databases, workflow orchestration...)
    • Development of technical & functional KPIs
    • Solution monitoring & alerting
    • Creation of REST APIs (~100k calls/day), latency < 1sec
    • Scaling of Deep Learning algorithms (DeepAR, Temporal Fusion Transformer...)
    • Participation in the architecture of AWS micro-services & digital platforms
    • Optimizations (memory, execution time, refactoring...)
    • Database workflow optimizations (structure, indexes...)
    • Automated reporting via SNS
    • Gitlab CICD
    • Drafting roadmaps for the migration of a central technology used for several years within the SAFe train
    • Participation in technical-functional architectures
    Amazon Web Services Databricks Elastic Stack (ELK) Python Terraform

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Education

  • Computer Science, Big Data and Connected Objects, Data Science specialization
    ESILV

Certifications

Skill set (68)

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