Berlin, Berlin, Germany
I’m a Microsoft Certified Data Engineer specializing in building cloud-based, scalable data pipelines using Azure, Databricks, and AWS. My expertise lies in designing and optimizing ETL/ELT workflows, implementing dimensional data models, and enabling data-driven insights that help organizations make faster, smarter decisions. My journey into data engineering began while automating data migration projects on Hadoop and Cloudera, where I learned how architecture choices impact performance at scale. Since then, I’ve worked across finance and insurance domains, developing robust data solutions with PySpark, SQL, Airflow, and Kafka. From building Delta Lake architectures on Azure to deploying real-time streaming systems, I focus on creating efficient, reliable, and testable data systems. I’m currently exploring opportunities that let me design cloud-native data ecosystems that bridge performance, reliability, and business value. My goal is to continue growing as a Cloud Data Engineer, mastering Databricks optimization, real-time data integration, and modern data-platform architecture to power next-generation analytics.