Data Engineer with 7+ years of experience building scalable data platforms on Google Cloud. Passionate about creating data infrastructure that drives real-world impact across real estate, education, healthcare, and the life sciences, while enabling AI and machine learning applications.
Engel & Völkers Technology GmbH
Building and evolving key parts of the data platform on GCP — from ingestion pipelines processing tens of millions of records daily, to data models powering company-wide analytics. Drove major reduction in data warehouse costs through strategic optimisations.
Forto Logistics GmbH & Co. KG
Played a key role in the migration from a monolithic ETL tool to a modern ELT architecture with dbt and Apache Airflow. Collaborated across product, operations, and analytics to deliver reliable production datasets and enforced data governance & PII compliance.
CEWE Stiftung & Co. KGaA
Developed and maintained a Hadoop-based data platform using PySpark and Airflow, achieving a 300% boost in ELT speed. Built ML pipelines including topic modelling on customer feedback and a class incremental learning model.
2018 – 2020
Jacobs University Bremen
Highest merit-based scholarship recipient, 2018–2020
2013 – 2017
Northeastern University, China
Academic scholarship recipient, 2015 & 2016
I'm always open to meaningful conversations — whether it's an interesting data challenge, a new opportunity, or simply exchanging ideas. Feel free to reach out.