Data Modeling Experts in Vienna

Oracle PL/SQL, Oracle SQL, ITIL

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.

SAP Business Data Cloud / Datasphere rollout

Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance

Tasks / Responsibilities:

• Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
• Designing spaces, data products, and data flows for integrated data models
• Connecting SAP and non-SAP systems via SDI, ODP, APIs
• Integration with SAP Analytics Cloud for self-service analytics
• Building governance, security, and authorization concepts
• Creating architecture guidelines & performance optimization

Results / Achievements:

• Introduced a central data catalog & authorization concept
• Laid the foundation for self-service analytics

• Business analysis
• Requirements engineering
• System design
• Various insurance projects
• Technology stack: msg.Billing (InExkasso)
• Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI

• 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

Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI

Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine

• Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
• Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
• Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
• Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
• Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
• Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
• Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).

Delivery of a digital, non-profit neighborhood platform connecting older people with volunteers for practical support and social companionship. Responsibility for business analysis, requirements definition, platform evaluation and delivery of a locally scalable service solution, with a focus on AI-supported development, data-driven optimization and clear market positioning. Evaluation of several low-code/business platforms, including Odoo and Glide Apps, as well as assessment of monday.com as a CRM-related option, before selecting Glide Apps for implementation. Implementation of a non-native mobile and desktop application with Glide Apps and the website with WordPress. Responsibilities

• Gathering, analyzing and structuring business requirements for the product and service model
• Conducting market, target group and competitor analyses to position the offering
• Evaluating and selecting suitable low-code/business platforms for implementation
• Defining key user journeys, business processes and operational workflows for older people, volunteers and Administration
• Translating business requirements into requirements for profiles, task management, coordination, communication and notifications
• Supporting the implementation of the non-native mobile and desktop application in Glide Apps and the website in WordPress
• Preparing future AI-supported functions such as intelligent matching and data-driven optimization
• Ensuring compliance with GDPR requirements Results
• Successfully delivered digital support platform connecting older people with volunteers
• Solid foundation for market positioning through market, target group and competitor analyses
• Implemented functional non-native mobile and desktop application with Glide Apps and accompanying website with WordPress
• Created foundation for scaling and AI-based further development

• Project Lead, Sr. BI Expert, Data Scientist, Automation Engineer for Marketing Analytics | Customer Insights (retail, e-commerce)
• Product Manager: Asset Metadata Ingest & Provide
• Product Owner Business Intelligence – responsible for 2 teams: cloud data engineering, data warehouse (logistics)
• Product Owner for setting up a reporting platform on Azure & Power BI (finance)

• BSS system implementation for B2B / transformation of the central B2B system landscape
• End-to-end business responsibility for defining, structuring and prioritizing key B2B business processes as part of a complex BSS transformation.
• Work in an agile, SAFe-like setup with multiple teams involved, along with regular coordination with business, IT, solution design and architecture.
• Translation of business requirements into implementable epics, features, user stories, process models and acceptance criteria as the basis for technical implementation.
• Close collaboration with solution design and architecture to assess technical dependencies, interfaces, data flows and system impacts.
• Management of target process design as the basis for implementation in Infonova BSS.
• Interface management between business departments, IT, architecture, development and operational units, including facilitation of cross-functional workshops.
• Ensuring process consistency, governance, decision-making capability and business acceptance as part of the system implementation.

• Analysis of business needs, technical specifications and development of solutions within SAP S/4HANA
• Application development and maintenance with ABAP OO, SAP Gateway Builder, CDS Views, AMDP, Fiori, BRF+, SAP Fiori, RAP
• Refactoring, design and implementation of development objects from existing SAP-AFS infrastructure to new S4/HANA Fashion system
• Test driven development using ABAP Unit Test framework and peer reviews
• Extension of Fiori apps, standard programs, exits, BAdIs and enhancements
• Adaptation and performance optimization of ABAP custom code to make it HANA optimized
• Comprehensive technical documentation of concepts and solutions

• Planning and monitoring sprints and holding the scheduled meetings

• Analyzing and resolving issues in the development process

• Error analysis, bug management and correction in individual process steps

• Stakeholder management

• Documentation and improvement of the development process

• Tools: JIRA, Confluence

• 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

• Conducting a feasibility study on introducing an in-house DWH as a central data source
• Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
• Gathering and detailing business requirements including a target concept for an in-house DWH
• Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
• Developing initial data models as a basis for data quality and later implementation
• Drafting solution variants including architecture and operation options and decision basis
• Creating the business case including effort estimates, cost-benefit analysis, and decision report

• Conducted due diligence for the acquisition of digital marketing agencies in Manila, evaluating revenue potential, scalability, and operational efficiency.
• Advised international companies on go-to-market strategies across Asia, with a strong focus on China and Southeast Asia’s online commerce ecosystems.
• Developed tailored digitalization and automation processes within CRM and marketing operations to drive efficiency and data transparency.
• Achieved successful market positioning and digital process optimization in collaboration with various SaaS and automation agencies, enabling scalable regional growth.