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Hamza E.HE

Hamza E.

Supermalter

Lead Data Engineer & Developer | Data Architect

€778/day
8 projects
Antony, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Hamza

Technical expert and Big Data architect with over 10 years of experience in development and architecture in general. I have worked on various types of technically demanding projects requiring expertise. In this context, I have faced various challenges related to high traffic: scalability, concurrency, etc., with a rich panel of technologies, particularly in the BigData domain.

Working with a team on Big Data challenges where I will bring my dynamism, my experience, my proposal strength, and my skills.

Performant and secure development is the result of my work.
  • French

    Native or bilingual

  • Arabic

    Native or bilingual

  • English

    Fluent

Can work on-site
Antony (up to 50km)

Experience

  • ENGIE
    Senior Data Engineer & Cloud/Big Data Architect
    ENERGY AND UTILITIES
    June 2025 - Today (1 year)
    La Défense, France
    • Designed and delivered real-time ingestion pipelines for multi-source renewable data (wind, solar, hydro).
    • Built Energy APIs for internal consumers enabling low-latency operational decision
    making.
    • Implemented automated data-quality pipeline (negatives, completeness, anomaly checks).
    • Set up cross-cloud archival workflows (Azure → AWS S3).
    • Impact: Improved operational monitoring reactivity, reduced incident response time, and enhanced market value optimization.
    Cloud Azure Azure Functions Azure Event Hub Python AWS S3
  • ENGIE
    Senior Data Engineer & Cloud/Big Data Architect
    ENERGY AND UTILITIES
    March 2024 - May 2025 (1 year and 2 months)
    La Défense, France
    • Engineered ingestion pipelines for renewable asset performance and production data.
    • Automated computation of actual versus expected generation, production losses, and financial compensations.
    • Built a reusable Data Quality Framework using Great Expectations.
    • Implemented DataOps workflows ensuring auditability for billing processes.
    • Secured financial billing accuracy, automated loss detection, and increased
    transparency in performance monitoring.
    Amazon Web Services (AWS) Python Data Quality AWS Lambda Great Expectations
  • ENGIE
    Tech Lead • Cloud & Big Data Architect
    ENERGY AND UTILITIES
    January 2022 - February 2024 (2 years and 1 month)
    La Défense, France
    • Migrated high-volume Cloudera/Spark workloads to AWS (Glue, Lambda, Redshift, Kinesis, Athena…)
    • Designed event-driven and serverless architectures to replace legacy Hadoop operations.
    • Built orchestration pipelines using EventBridge and CloudWatch observability.
    • Supported forecasting workloads for day-ahead and long-term predictive modeling.
    • Achieved major scalability gains, significantly reduced operational expenses, and increased reliability of gas forecasting and procurement decisions.
    Amazon Web Services (AWS) AWS Glue Event-driven architecture Amazon Redshift AWS Kinesis

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Education

  • Master’s Degree — Computer Science
    Université de Franche-Comté
    2015
  • Maîtrise (4-year Degree) — Applied Computer Science
    Institut Supérieur de Gestion, Tunis
    2007

Certifications

Skill set (7)

Categories