Paul Stoellberger
Data Metrics Solution Architect - Consultant
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolPaul Stoellberger is a Data Metrics Solution Architect and consultant with 16 years' experience designing end-to-end, data-centric solutions that span ingestion, analytics, metrics design, visualization and user interaction. Based in Vienna, he combines deep engineering skills with product and business-process insight to deliver adaptable systems that remain useful as requirements and environments evolve. He has led projects and teams at companies like Saiku Analytics and Meteorite Consulting and has a strong track record in BI migrations and OLAP tooling. As an active back-end contributor to the Mondrian OLAP project, he has fixed complex MDX issues and added database dialect support, showing hands-on competence with analytical query engines. Trained with an MSc in Computer Science from the University of Edinburgh, Paul focuses on asking the right questions to turn data into actionable insight rather than just dashboards. He brings a pragmatic, systems-level mindset that uncovers small but impactful improvements across engineering, product and process.
16 years of coding experience
5 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at Unversity of EdinburghBSc Computing, BSc Computing at University of Central Lancashire
German, English
Github Skills (9)
olap10
mdx10
javas10
databases10
mondrian10
java10
database10
sql9
testing8
Programming languages (3)
Github contributions (5)
pentaho/mondrian
Oct 2012 - Jan 2013
Mondrian is an Online Analytical Processing (OLAP) server that enables business users to analyze large quantities of data in real-time.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits in 3 months
Contributions summary:Paul primarily contributed to the Mondrian OLAP server, focusing on bug fixes and enhancements. Their work included resolving issues related to calculated member captions and visual totals within the MDX query engine. Additionally, the user introduced support for the MonetDB database dialect and addressed related issues, such as the handling of subquery aliases and distinct count functionality. They also added and updated test cases to validate functionality.
mondrianolaponline-analytical-processingmdxdatabase
pstoellberger/saiku-query
Jan 2017 - Dec 2021
Contributions:4 commits, 19 pushes in 4 years 11 months
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