Volker Janz

I work as an Expert Data Engineer. My responsibilities include developing the streaming pipeline with Kafka and Flink, as well as the batch data platform using Hadoop, Airflow, and Spark. I develop Java software for CRM purposes and work on Python projects for data integrations. I contribute to establish a ML/AI platform on GCP and VertexAI. I evolved the data platform to a hybrid solution using Google Cloud. I am a passionate speaker on Data Engineering topics and attend international conferences.

After building up and leading the Data Engineering team at InnoGames for several years, I changed my focus from leadership to being a Data Engineer to actively shape the data infrastructure of the company as well as being a speaker for Big Data related topics.

I built up and led the Data Engineering team at InnoGames as a Technical Product Lead. While still being an active part of the development process, I handled leadership tasks to ensure a productive and agile team environment. During that time, my team and I created the data infrastructure at InnoGames using technologies like Go, Java, Spring, Kafka, Storm and the Hadoop ecosystem.

After I received my Master’s degree in Computer Science with focus on Information Systems, I worked in the Backend Development department at InnoGames on PHP and Java projects. I created and maintained various distributed backend systems, such as the centralized premium currency management system. I also started to focus more on Data Engineering / Big Data topics which turned out to be my passion.

To conclude my studies, I collaborated with InnoGames for my Master's thesis: Revenue recognition for Free-To-Play-Online-Games - development of a centralized premium currency management system.

Development and maintenance of several web projects for the department "Very Large Business Applications".

Development of an visual domain specific language for dimension modeling within a multi dimensional data structure.

Development and maintenance of several web projects.

Business Informatics, final grade: 1,37

Computer Science, final grade: 1,71