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Ramya Wuraola HountondjiRW

Ramya Wuraola Hountondji

DATA ANALYTICS ENGINEER

350 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Ramya Wuraola

  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

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

Expériences

  • Devoteam A cloud,
    DATA ANALYTICS ENGINEER
    mai 2024 - Aujourd'hui (2 ans et 1 mois)
    Paris, France
    Engie B2B IT : Data Engineering and Analytics on Energy Metering Systems Designed and developed scalable Databricks (PySpark) pipelines processing millions of time-series clients consumptions records (PODs, contracts, and allocations) ensuring data integrity at scale. Built data flows to support billing accuracy, contract reconciliation, and allocation tracking improving financial reliability and auditability. Worked on energy metering and pricing analytics, structuring models for operational and financial teams and other users. Delivered a proof of concept (POC) to detect and analyze eco-accounting discrepancies, validating the data approach and enabling the project's industrialization. Performance optimization using broadcastjoins, partition tuning, and schema validation to reduce job runtime and improve scalability. Contributed to the data quality governance layer, ensuring traceability, validation, and schema evolution across the Delta Lake architecture. Environment: PySpark, Databricks, Delta Lake, Azure, SQL, Git, Jira.
  • Quantmetry,
    DATA ANALYTICS ENGINEER
    juin 2022 - février 2024 (1 an et 8 mois)
    Paris, France
    Decathlon Technologies: Reappropriation and Valorization of supply chain Data Built ETL pipelines to generate actionable KPIs and improve operational efficiency. Orchestration of processes related to data management to improve marketing operational efficiency. Ensured data quality and introduced the data product mindset within the team. Facilitated collaboration between business and tech teams using agile project management. Environment: Python, PySpark, SQL, Databricks ,Github, AWS (S3, Redshift), dbt
  • Air Liquide IT,
    DATA ENGINEER
    septembre 2019 - mars 2022 (2 ans et 6 mois)
    Paris, France
    Data quality Tool Organization of workshops to align functionalities with needs. Designing and implementing the tool based on business needs. Production of documentation. Environment: Python, AWS( EC2, S3), GIT, Shell. Consolidation of all Network Air liquide site data and KPIs creation. Optimizing data workflows. Creation and automation of essential business KPIs calculations Environment: Python, AWS( ECE, S3), Git, Shell, SQL, Trello, Cron. Other Activities: Data extraction via Web Scraping. Coordinating Data Migration Projects.

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Formations

  • MSC DATA MANAGEMENT
    EFREI & PSB PARIS
    2022
    MSC DATA MANAGEMENT
  • ENGINEERING DEGREE
    ESIGELEC
    2020
    ENGINEERING DEGREE

Compétences

Catégories