Hi there 👋 I'm a data engineer based in Paris with more than six years of experience designing and building petabyte-scale data platforms. I'm very passionate about open-source projects and enjoy working with data and designing scalable solutions.
Working on Zendesk's core data platform.
Oct. 2022 - PresentBuilding data products within the Enterprise Data & Analytics org. (Offering internal teams access to product data at scale, contributing to the design and implementation of data domains, enhancing the existing data stack)
Nov. 2021 - Oct. 2022Worked on multiple projects on the AWS cloud (desiged and implemented cloud-based data lakes, data pipelines, and ML Ops pipelines). Designed and implemented an Apache Superset environment used by multiple teams within the company.
Apr. 2020 - Nov. 2021Worked as a consultant with CA-CIB's data teams on implementing a Big Data architecture for the FRTB regulations. The project consisted of building a Hadoop data lake to store all of the bank's markets risk data.
Dec. 2018 - Apr. 2020Worked at Numberly (1000mercis group) as a data engineer for my end-of-studies project. The project consisted of building data pipelines for a Big Data architecture using Apache Spark (PySpark), Apache Airflow, and Apache Zeppelin. The data was mainly stored on MSSQL and Apache Hive (on top of Apache Hadoop).
Jan. 2018 - Jul. 2018Worked at Democracy International on a campaign to deliver useful information to Tunisian voters to motivate them to participate in the country's upcoming municipal elections. Turned the data provided by Tunisian ministries and associations into interactive visualizations that helped voters get a better understanding of their municipalities' data.
May. 2017 - Jan. 2018
Conceived and implemented a three-layer data architecture (Lambda Architecture) for a traffic and navigation Android app.
University
© 2023 Mahdi Karabiben
