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Zaid OuniZO

Zaid Ouni

Supermalter

Lead Data Engineer

€730/day
9 projects
Chevilly-Larue, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Zaid

Big Data Specialist, Zaid supports companies in building disruptive, actionable Big Data strategies. With a PhD in 'Applied Mathematics' and experience in industrializing Big Data software components, he pays particular attention to design and development. Proactive and with solid experience in Data & Software Development issues, his user-oriented service mindset allows him to work on Big Data projects involving various issues: Big Data Architecture; Software component deployment; Data Integration; Data Processing; Data Management; Data Science; Data Quality, ...
  • French

    Native or bilingual

Can work on-site
Chevilly-Larue (up to 50km)

Experience

  • DGDDI – Direction générale des Douanes et Droits Indirectes
    Lead Data Science and Data Engineering Techniques
    PUBLIC SECTOR
    September 2020 - Today (5 years and 10 months)
    Paris, France
    • Identification and analysis of business needs
    • Application design for use cases
    • Definition and costing of user stories/tasks
    • Supervision of the development team
    • Facilitation of Pair-Programming workshops
    • Algorithmic research on the fuzzy matching method
    • Definition of mockups for decision support interfaces
    • Implementation of unit and non-regression tests in application modules
    • Working in Agile organization: sprint planning, daily, weekly, retrospective workshops, etc.
    • Assistance in the production deployment of two use cases
  • ACOSS – Agence Centrale des Organismes de Sécurité Sociale
    Big Data Consultant
    PUBLIC SECTOR
    March 2018 - August 2020 (2 years and 6 months)
    Montreuil, France
    • Scoping and facilitation of strategic discussions on use case definition
    • Loading data into the Data Lake (Cloudera, Horton) with Sqoop
    • Scheduling the launch of data collection and Data Lake feeding jobs with Oozie
    • Automation of the creation and launch of Hive and Oozie scripts with Python
    • Development of quality indicators using PySpark
    • Preparation of a development environment for data engineers
    • PySpark training for the development team
    • Implementation of test cases for big data architecture components
    • Configuration and testing of job scheduling in Oozie
    • Production deployment of business projects using DevOps tools (Jenkins, Docker, Ansible, ...)
    • Management of authorizations and data access rights with Ranger

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