Mathias Geschwandtner

Mathias Geschwandtner has a strong background in data architecture and management. Mathias worked as a Senior Data Architect at Magaloop from April 2022, where they increased the productivity of the data engineering team by 30% and led a team in migrating a complex data ecosystem to a cloud-based platform, resulting in increased scalability, improved performance, and reduced infrastructure costs. Mathias also improved the availability of picture/brand information by 50%. Prior to this, they were a Senior Data Manager at Magaloop from December 2020, where they improved the productivity of the data management operational team by 300% through automation, delivered a data warehousing solution for BI and analytics in three months, and implemented data governance policies and procedures that improved data quality and consistency across the organization.

Before their time at Magaloop, Mathias worked at home24 SE. As a Business Intelligence Engineer from May 2019 to December 2020, they introduced Airflow as the main scheduling tool to increase data pipeline efficiency by 70%, provided a new data warehousing solution in AWS that reduced data silos by 90% and increased query performance by 50%, and implemented a new customer service reporting solution that improved first contact resolution by 10%. Mathias also held other positions at home24 SE, including Business Intelligence Analyst, Team Lead Projects & Analytics in Customer Service, Teamlead General Requests in Customer Service, Customer Service Specialist, and Customer Service Intern.

Mathias began their career with a Soziales Jahr at Lebenswerkgemeinschaft gGmbH, Werkgemeinschaft für Berlin-Brandenburg Betreutes Arbeiten from August 2007 to July 2008.

Mathias Geschwandtner attended European-University Viadrina from 2009 to 2010, where they studied Angewandte Volkswirtschaftslehre. Mathias also obtained several certifications related to data science and machine learning, including "Building Batch Data Pipelines on GCP," "Google Cloud Platform Big Data and Machine Learning Fundamentals," "Modernizing Data Lakes and Data Warehouses with GCP," "Fundamentals of Scalable Data Science," "Data Visualization with Python," "Machine Learning with Python," "What is Data Science?," "Data Analysis with Python," "Data Science Orientation," "Databases and SQL for Data Science," "Python for Data Science and AI," and "Functional Programming Principles in Scala." These certifications were obtained between 2019 and 2020 from Coursera and Coursera Course Certificates.