Big Data and Cloud Architect
“Big Data and Data Science lift the value of data ensures competitiveness, decision-making and digital transformation.”
Master of Science in Information Technology (M.Sc.)
Master Thesis: Ontology-based Information Extraction for Reporting of Unstructured Data in Business Intelligence Systems
Bachelor of Science in IT-Engineering (B.Sc.)
Bachelor Thesis: Service-orientierte Architekur als Implementierung einer prozess-orientierten Integrationsarchtektur verteilt agierender Unternehmen
Knowledge and Expertise:
- Analytics and Big Data Architecture
- Data Mesh and Data Lake Distributed Architectures
- Containerized Architectures and Deployments with Docker and Kubernetes
- Domain Driven Design and Entity Component System (ECS) Architecture
- Cloud Architectures and Infrastructure on AWS and Azure
- Apache Spark (Spark, Scala) and Databricks
- Event-driven systems using Kafka and Confluent
- Hadoop core components (Hive, Flume, Oozie, HBase, HDFS, Yarn)
- Distributed Query-Engine Presto (Starburst)
Languages:
- Python
- Scala
- Java
- R