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Data Engineer
Data Engineer at RAIFFEISEN BANK INTERNATIONALAG building Quantexa risk indicators and Databricks data pipelines.
AustriaData Engineer at Raiffeisen Bank International AG
Raiffeisen Bank International AG
Integrating and customizing the Quantexa Platform framework within the internal ecosystem, including external data sources and tailored data models. Developing risk indicators using the QuantexaAssess scoring framework and building cost-efficient data pipelines in Databricks.
QuantexaQuantexa AssessDatabricksData EngineeringData OrchestrationDevOpsMentorship
Managed and monitored Google Cloud Platform services and deployed infrastructure using IaaC. Designed and maintained data ingestion, integration, and transformation pipelines across CRMs, CMSs, and analytics platforms, including reverse ETL for CRM systems.
Google Cloud PlatformIaCData IngestionData Integrationdata transformationReverse ETLMachine LearningDevOps
Designed and implemented cloud infrastructure for generativeAI services. Optimized performance and costs through monitoring and analysis, and provided technical support for deployment and operations.
Generative AICloud InfrastructurePerformance OptimizationCost OptimizationMonitoringDeploymentOperations
Researched audio tampering detection using deep learning methodologies for multilayered threat detection. Developed audio tampering detection models and containerized them for deployment.
Deep LearningEvidence Tampering DetectionContainerizationResearch
Raiffeisen Bank International AG
Built and managed data transformation pipelines on high-performance cloud clusters using workflow tools. Onboarded and mentored colleagues in the data lake ecosystem and presented the data lake concept to network banks.
data transformationCloud ClustersWorkflow ToolsData LakeMentorshipPresentation Skills
Master of Science in Data Science from Technische Universität Wien, passed with distinction.
Bachelor of Science in Business Informatics from Széchenyi István University in Győr, Hungary.