Mehdi Erraki

Big data engineer - Spark (scala/python) - Hadoop

Moves to Paris, Paris, Bordeaux, Nice, Montpellier

  • 48.85661400000001
  • 2.3522219000000177
  • Indicative rate €644 / day
  • Experience 2-7 years
  • Response rate 100%
  • Response time 1h
Propose a project The project will only begin when you accept Mehdi's quote.

Availability not confirmed

Propose a project The project will only begin when you accept Mehdi's quote.

Location and geographical scope

Paris, France
Can work in your office at
  • Paris and 50km around
  • Paris
  • Bordeaux
  • Nice
  • Montpellier


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months



  • Français

    Native or bilingual

  • Anglais

    Full professional proficiency

  • Arabe

    Native or bilingual

Skills (18)

Mehdi in a few words

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

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

I work as a freelancer and I am currently on two-years mission in healthcare industry.

During my 5 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



Medical field

Consultant Data Engineer indépendant chez Iqvia

Paris, France

June 2018 - Today

- 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



ingénieur big data

Paris, France

November 2015 - May 2018

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)


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