Muhammad Abdullah

Data Engineer @Highsnobiety

Berlin, DE

Engineered scalable ETL/ELT pipelines in Python, Spark, and Airflow to unify batch and streaming data from CRM, e-commerce, and web analytics systems via modern data connectors and APIs• Designed and maintained dbt marts using Medallion and Star schemas, ensuring high data quality, lineage tracking, and cost-efficient warehouse performance.• Built and automated dashboards, translating complex datasets into actionable insights for marketing, trading, and operational teams.• Coordinated Agile sprints through Jira and Confluence, facilitated knowledge sharing across data teams, and supported peers in adopting best practices for data modeling and pipeline development.

National University of Computer and Emerging Sciences

Bachelor's degree

RWTH Aachen University

Master's degree