Ulrich Meyer
Senior AWS Data Engineer
HanseData Systems GmbH
Dear Hiring Team,
I am writing to express my interest in the AWS Data Engineer position at HanseData Systems GmbH. With a solid background in designing distributed cloud architectures and managing enterprise analytics platforms on AWS in Germany, I welcome the opportunity to contribute to your engineering team's data platform initiatives.
In my current role at SpreeMetrics Analytics GmbH, I architected automated ingestion pipelines utilizing AWS Glue, Amazon EMR, and Amazon S3 to reliably process 4.2 TB of daily telematics and transactional records. I also led the migration of analytical workloads from legacy on-premises databases to Amazon Redshift, which successfully reduced nightly batch processing windows by 38%. Furthermore, I established enterprise data governance and lineage standards across 14 enterprise datasets using AWS Lake Formation and Apache Iceberg tables.
Previously, at Kranich Logistik Systeme AG, I engineered event-driven streaming pipelines with Amazon Kinesis Data Streams and AWS Lambda for real-time fleet telematics tracking. In addition, I designed Amazon Athena and Amazon S3 lakehouse query patterns that decreased ad-hoc analytics query latency for operations analysts by 45%, while incorporating automated data validation workflows via Great Expectations, AWS Step Functions, and Managed Workflows for Apache Airflow.
I would appreciate the chance to discuss how my practical experience with AWS data infrastructure, pipeline automation, and lakehouse governance aligns with HanseData Systems GmbH's upcoming data engineering goals. Thank you for your time and consideration.
Sincerely,
Ulrich Meyer