Fabian Peters is an experienced SAP Basis administrator with 13 years in system operation, user administration and Entitlement management, currently supporting T-Systems and running his own consulting work. He combines hands-on SAP Basis tasks—readiness checks, system copies, HANA sizing, patching and OSS call management—with meticulous SAP authorization work, mass role changes and Firefighter administration. Reliable in 2nd-level ITSM/ITIL support, he also drives quality assurance, SLA monitoring and process documentation for both technical teams and end users. An active open-source contributor, Fabian has improved data-processing behavior in the Apache Hop orchestration platform and fixed backend issues in the long-standing WebObjects “Project Wonder,” showing a knack for debugging integrations beyond SAP. Based in Mammendorf, Bavaria, he pairs practical operational expertise with clear technical guidance and customer-focused recommendations.
13 years of coding experience
Berufsausbildung zum Fachinformatiker für Systemintegration, Berufsausbildung zum Fachinformatiker für Systemintegration at Pharmakonzern
Fachabitur in Wirtschaft und Rechtswesen, Fachabitur in Wirtschaft und Rechtswesen at Robert Bosch Fachoberschule
Contributions:180 commits, 63 PRs, 1 push in 5 years 6 months
Contributions summary:Fabian primarily contributed to the Wonder project by addressing bugs and improving existing code in the back-end, particularly within the ERExtensions and D2W frameworks. Their work involved reverting code changes to fix IllegalStateExceptions, refining space-trimming logic to exclude read-only attributes and adjusting the page navigation, including setting the current tab. Furthermore, the user addressed issues related to D2W components and also performed adjustments to ensure that batch size settings were read as expected from user preferences.
Contributions:6 commits, 6 PRs, 1 comment in 2 months
Contributions summary:Fabian focused on improving data processing capabilities within the Hop Orchestration Platform. They addressed issues related to handling data types, specifically float values in Avro decoding and timestamp values in BigQuery input/output transformations, which enhanced data integration with external systems. They also fixed a bug in the "Get file names" transform related to beam integration and improved the platform's data processing with their contributions. Additionally, they made a minor correction to a log message.
orchestrationhopstreamingapachekubernetes
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