ROFreelancer profile translated to English.
Back to original languageAbout Robert
Experienced Backend and Data Engineer focused on developing scalable, fault-tolerant backends for data-intensive applications and implementing these applications themselves. Combining solid software engineering practices with a deep understanding of data engineering results in robust systems that efficiently process high data volumes and reliably provide them for analysis, automation, and operational workloads.
Focus areas include the design and implementation of service-oriented architectures (e.g., microservices), the development of data and integration pipelines (ETL/ELT), the modeling of large datasets, and the construction of data apps and automations along complete data value chains.
German
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Alpas AI(Senior) Software EngineerSOFTWARE PUBLISHINGSeptember 2023 - Today (2 years and 11 months)Berlin, GermanyDevelopment of an internal backend to replace a legacy data tool with a modern, scalable, and highly available system. Responsibility for the gradual decomposition of existing monoliths and their migration into Go-based microservices.Tasks
- Design and implementation of a new backend system for modernizing a legacy tool.
- Breaking down a monolithic system into clearly defined microservices implemented in Go.
- Building standardized patterns and best practices for the development of new services.
Achieved Results- Reduction of the error rate in a critical process by more than 90% through automation and modernization of the legacy system.
- Reduction of the process runtime in this area by over 99% through redesign of workflows and technical optimization.
- Standardization of service development and consolidation of redundant logic, reducing the time for initial setup of new services by approximately 40%.
- Kolibri Games(Senior) Data EngineerVIDEO GAMES AND ANIMATIONMay 2020 - June 2023 (3 years and 1 month)Berlin, GermanyResponsibility for ensuring data quality, availability, accuracy, and security within the company-wide data landscape.Job DescriptionDesign, development, and operation of a scalable data integration and analysis platform to support data-driven decision-making processes within the company. Close collaboration with business units and stakeholders to define data requirements and translate them into robust technical solutions.Tasks and Methods
- Building and maintaining the data integration architecture, including interfaces to internal and external source systems (batch and near-real-time).
- Development and maintenance of ETL and ELT pipelines for reliable provision and transformation of large data volumes for reporting, analytics, and data products.
- Implementation and optimization of big data models and analytical tools for generating business-relevant insights.
- Development of data apps and automated workflows for process digitalization and reduction of manual tasks.
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Education
- Master of Science - MSAlbstadt-Sigmaringen University of Applied Sciences2019Master of Science - MS