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Stéphane WongSW

Stéphane Wong

Data Engineer

667 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Stéphane

I enjoy working with new technologies that involve data and distributed computation engine such as Spark.
Always eager to learn new things and supporter of functional programming paradigm (Scala lover)
  • Anglais

    Capacité professionnelle limitée

  • Français

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km), Courbevoie (jusqu’à 10 km)

Expériences

  • SeLoger
    Data Engineer
    IMMOBILIER
    février 2019 - Aujourd'hui (7 ans et 4 mois)
    Paris, France
    - Copy (Sqoop) databases into the data lake (Sqoop, Scala, Spark, EMR, S3)
    - Implementation of a new referential user based on databases that contains personal information (Spark, Scala, S3)
    - Design and build ETL (Extract, Transform, Load) tools for Big Data. Data wrangling for Data Scientist and Business Analyst teams. The main goal is to clean and aggregate data into the data warehouse (Scala, Spark, S3, EMR, Athena, Redshift, Spectrum)
    - Design and implementation of a job to delete users from all databases whose date of the last activity is too old (Spark, Scala)
    - Implementation of a REST API to retrieve or delete data when user requests it (Spring, Java)
    - Implementation of a REST API to send users consents data into the Data lake (Spring, Java, CloudWatch, S3)
    Amazon Web Services Scala Spark Java
  • Ogury
    Data Engineer
    PRESSE & MÉDIAS
    octobre 2018 - février 2019 (4 mois)
    - Design and build ETL (Extract, Transform, Load) tools for Big Data. The main goal is to clean and aggregate data for business teams (Scala, AWS, S3, Data Pipeline, Redshift).
    - Design and development of an internal website to show how the data models are structured. The main goal is to help teams to easily access data and to be better organized (Nodejs, ReactJs, Redshift, Docker, Postgresql)
    Scala ETL Amazon Web Services Node Dock React.js PostgreSQL
  • MindLytiX
    Data Engineer
    PRESSE & MÉDIAS
    août 2017 - septembre 2018 (1 an et 2 mois)
    - Design and build ETL (Extract, Transform, Load) tools for Big Data. Data wrangling for Data Scientist:
    Stack: Hadoop, Scala, Spark, Hive

    - Design and development of an internal framework for advanced data analysis and expanded marketing insights using huge datasets.
    Stack: Scala, Spark, Hive, Postgresql, MongoDB, MLlib

    - Design and development of a REST service for cookiepool configuration management.
    Stack: Scala, Akka Http, Slick, Postgresql

    - Data HuB management, hadoop and Ambari administration.
    Stack: Ambari, Spark, Hive, HDFS
    Scala Spark ETL Hortonworks Hive MongoDB HDFS PostgreSQL

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Formations

  • Master Informatique
    Université Denis-Diderot Paris 7
    2014

Compétences

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