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Mullafetah Visar

Data Architect

Can work in or around Paris

  • 48.8546
  • 2.34771
Propose a project The project will begin once you accept Mullafetah's quote.
Propose a project The project will begin once you accept Mullafetah's quote.

Location and workplace preferences

Location
Paris, France
Can work on-site in your office in
  • around Paris and 50km

Preferences

Project length
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Business sector
  • Digital & IT
  • Architecture & Urban Planning
  • Biotech
  • E-commerce
  • Energy & Utilities
+9 autres
Company size
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
  • 1000 - 4999 people
+1 autres

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Languages

Categories

Skills (19)

Mullafetah in a few words

Data engineer with strong problem solving and communication skills with the ability to ensure important business goals are achieved. Competence and interest in data architecture, data governance, machine learning, and behavioral science. Characterized by making things happen attitude, and resilience in the face of adversity.

Experience

Numberly - 1000mercis Group - Numberly

Digital & IT

Data Engineer

Paris, France

January 2017 - August 2021 (4 years4 years and 6 months)

- Manage and maintain the audience processing engine of RTB/DMP; processing 10 TBs of daily behavioral (click-stream) and CRM data (Java, Hive); with that manage the daily audience distribution to various DSP partners (Xandr Batch Segment API, Google Display & Video 360, Facebook Marketing API, Mediamath).

- Design, develop, deploy, and maintain data pipelines using Pyspark, Airflow, and Python.

- Design, develop, deploy and maintain RTB/DMP’s metadata strategy, including tools deployment, governance (new data model/structure for behavioral and CRM data in HDFS/Hive) and training.

- Work closely with Project Managers and DevOps teams to re-design and implement part of Numberly’s main Data Management Platform (DMP).

- In collaboration with the DataOps team, migrate Hadoop infrastructure to a new on-premise cluster; including Cloudera 5.12 to CDP 7.1, rewriting 200 Airflow/Spark ETL pipelines, and move 600 Tb of data.

- Productionalize machine learning pipelines.

External recommendations

Check out Mullafetah's recommendations

Education