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Mehdi ErrakiME

Mehdi Erraki

Lead data engineer - Spark - AWS - Haddop

On-demand
Paris, FR
8-15 years

Average response time: 1 hour

About Mehdi

Hi, I am a big-data-native engineer.

(Please find clients recommendations on my Linkedin profile : MEHDI ERRAKI )

During my 6 years data engineering experience so far, I have actively helped adding value on multiple projects related to large-scale and distributed data storing, managing, designing, processing, tooling, and valuing through :

- mastering of Spark technology (advanced implementation and optimization)
- my good knowledge of hadoop ecosystem and environments (experience with both cloud infrastructure, and on-premise distributions)
- being an active input for functional and technical design
- disposing of mathematics and data science background
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km), Paris (up to km), Bordeaux (up to km), Nice (up to km), Montpellier (up to km)

Experience

  • Bloom
    Senior Data Engineer Spark AWS
    SOCIAL NETWORKS
    June 2021 - Today (5 years)
    Paris, France
    Data engineering pipelines on top of AWS - Spark/Scala/python/Kafka/Graphx ...
    Spark Scala AWS
  • IQVIA
    Consultant Data Engineer indépendant chez Iqvia
    MEDICAL
    June 2018 - Today (8 years)
    Paris, France
    - Conception fonctionnelle et technique, et développement pour une migration à grande échelle de la collecte des données médicales
    vers un environnement Cloudera (Spark-Scala, Hive ,Kudu, Impala)
    - Spark/Scala : conception, développement industrialisé, et optimisations avancées
    Spark Scala Hive kudu impala Cloudera
  • Tradelab
    ingénieur big data
    E-COMMERCE
    November 2015 - May 2018 (2 years and 7 months)
    Paris, France
    Ingénieur Big Data à Tradelab (secteur du marketing digital – RTB) :
    • Spark : développement (python, scala), documentation continue et suivi de l’évolution, formation et mentoring
    • infra & web services : api et interface d’allocations de ressources dans le cloud (GCP), de lancement et de suivi des jobs Spark
    (tornado-flask), système de scheduling, de gestion des tâches, et de scaling automatique
    • statistiques et apprentissage : implémentation opérationnelle de modèles d’apprentissage supervisé pour l’optimisation des
    enchères algorithmiques sur les espaces publicitaires (RTB)
    Spark Python

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Education

  • Ingénieur en BI / BIG DATA
    Telecom Bretagne (institut mines telecom)
    2015
    Ingénierie généraliste (culture IT très complète) Spécialisation BI/BIG DATA en dernière année.

Skill set

Categories