Data Visualization Experts in Austria

Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.

• Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
• Creation of sales reports in Power BI
• Training employees in business intelligence
• Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)

• Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance

• Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements

• Further development and configuration of recertification processes

• Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)

• Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards

• Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles

• Work in an agile Scrum team with daily communication, sprint planning and reviews

• Coordination with testers, test managers and business departments to ensure quality and smooth production rollout

• Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies

• Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)

• Reproduction of complex errors, identification of root causes and implementation of lasting fixes

• Creation of technical analyses and recommendations for operations and further development

Further development of the data analytics system landscape based on MS Power BI

• Concept and development of ETL processes, primary data source SAP IS/U incl. extraction via Theobald extractors to Azure Synapse, support with SAP S/4 conversion
• Support in the concept and development of data models in Azure Synapse Analytics
• Gathering and implementation of requirements in the data analytics area from internal business units
• Identification, documentation and analysis of existing as well as cross-functional processes
• Data definition, data modeling & preparation as well as source selection for merging data from differently structured data sources
• Design of reports and dashboards based on MS Power BI
• Transfer of reporting processes from existing structures to MS Power BI Premium (PPU)
• Hands-on development and implementation of analyses, reports and dashboards based on Microsoft Power BI
• Power Apps for write-back processes from Power BI Premium to Azure SQL DB
• Power BI support as part of the SAP S/4 conversion
• Cooperation with internal business units and external development partners
• Coaching/training, documentation, development processes

• Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
• Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
• Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
• Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
• Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
• Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
• Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
• Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
• Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
• Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
• Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
• Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
• Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
• Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.

• Study: Data Science & Intelligent Analytics
• Module: Big Data Processing

• Consulting on the enterprise data-warehouse and reporting practice at one of Austria's largest industrial groups.
• Designing and standardizing Power BI dashboards and data-visualization governance for company-wide enterprise reporting.
• Developing a WCAG-compliant, colorblind-safe visualization standard (Okabe-Ito palette) to harmonize dashboards across the organization.

• Accurate handling of customer transactions under time pressure, including cash and register processing with high care
• Reliable, consistent performance in a fast-paced, customer-focused environment; strengthened organization and multitasking skills

• Introduced automated testing for Fabasoft components and trained testers to create automated test cases.
• Installed AppTest on the server and clients.
• Requested firewall exceptions to allow communication between the AppTest server and clients.
• Conducted training sessions for testers.
• Automated test workflows.
• Created reports and sent emails.
• Enabled faster reviews of new releases, reduced manual testing effort, and improved documentation of test results and discovered defects.

• Architecture and development of enterprise React 19 based documentation platform for automotive software systems
• Full-stack implementation of visualization tools & interactive diagram viewers
• Performance optimization initiatives including virtual rendering for 10,000+ node trees and Web Worker-based search functionality
• Designed and implemented modular plugin architecture enabling extensible document rendering system
• Technical consultation on Git-based architecture-as-code workflows and modern design patterns
• Ownership of critical features from design through deployment, collaborating with cross-functional enterprise teams

• Project management
• Design, optimization, query, reporting, and data modeling
• Liaising with clients / training
• Design, optimization, and development of query, reporting, and data architecture
• SAP SAC
• Story
• Data Action
• Planning
• SAP Datasphere
• SAP BTP
• MS Power BI
• DAX
• Power Query
• IBM Cognos Reporting
• Framework Manager

• Lead architect for AI and ML projects including GenAI, LLM-based apps and forecasting solutions
• Guided customers through solution scoping, architecture design, and PoCs across various industries (Pharma, Insurance, Logistics, FMCG)
• Delivered production ML pipelines using Azure ML, MLflow, and MLOps best practices
• Responsible for effort estimation, delivery and staffing of 5 – 10 projects simultaneously
• Hiring manager for the data science and AI team and responsible for creating the technological offering and roadmap in the AI & Data Science space
• Built and scaled the AI/Data Science service offering from scratch to a high 6-figure annual revenue with 30+ successful deliveries and 20+ clients
• Regular speaker at AI and data science conferences and academic institutions

• Built and maintained C and C++ simulation engines with Python analysis for studies of 4D random geometries on shared HPC systems.
• Developed modular Python pipelines with clear interfaces and caching for large datasets to improve analysis throughput and reuse.
• Automated SLURM and PBS batch workflows for submission, monitoring, environment capture, and artifact packaging to ensure reproducibility.
• Refactored utilities into tested, documented packages to lower maintenance effort and support collaboration.
• Supervised BSc students and organized seminars.
• Published several peer-reviewed papers.

• Setup and maintain Prometheus and Grafana via Docker for more than 2.000 services.
• Setup CI/CD with Ansible to provision and maintain Prometheus and Grafana.
• Metrics visualization and segregation in multiple dynamic dashboards.
• Setup of real time alerting for critical services.