Data Warehouse Experts in Vienna

• Consulting and interim management at the interface between IT operations and regulation
• Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
• Training for governing bodies and employees on regulatory obligations
• Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
• Supervision of master’s theses and participation in the examination board
• Presentations for business and educational institutions
• Design and development of data and AI products, platforms and pipelines
• Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
• MLOps and AIOps in live operations
• Own applications under own brand: shared codebase, separate delivery for each target device
• AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
• Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
• Publications on data sovereignty, cloud economics and industrial image processing
• AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics

• Organizational Change Management as part of a group-wide, supranational sales transformation, serving as the core of a broad restructuring of business-critical areas, with end-to-end control of the change process and long-term embedding and securing the future readiness of sales.
• Initiation and end-to-end steering of the sales transformation program, including in-depth analysis to identify, assess, and strategically involve all relevant stakeholders, making tactical use of their specific business interests and influence.
• Conducting advanced, detailed change impact analyses to predict the organizational effects of the transformation, deriving a tailored change strategy, and developing a change roadmap and a change story as the core narrative of the campaign.
• Designing and implementing an integrated communication and action plan to ensure maximum transparency, effectively manage unspoken expectations, and actively guide a change process that is clear and understandable for all stakeholders.
• Active management of all transformation phases, including the setup of robust monitoring mechanisms for continuous progress analysis and forecasting based on recommended and jointly defined KPIs.
• Establishing an agile analysis and adjustment cycle to continuously assess the effectiveness of implemented measures, identify challenges early, and fine-tune the change strategy in time.
• Conducting precise gap analyses to identify skill gaps in the sales team in the context of the new strategic direction, and deriving and developing targeted qualification measures (e.g. coaching, training).
• Comprehensive reduction of resistance to change by turning opposing stakeholder mindsets into proactive change-driving change ambassadors.
• Deep and sustainable realignment of sales structures and processes in full alignment with the company’s overall goals.
• Qualitative and quantitative improvement of sales efficiency and performance as a direct result of the implemented transformation initiatives and capability-building programs.

• 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)

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).

• Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
• Takes over and stabilizes existing solutions after a short handover
• Business analysis and requirements engineering for migration to a new cloud environment
• Optimization of machine learning models for feature extraction and customer profiling
• Ensures data protection and compliance
• Leads the migration of on-prem systems to Microsoft Fabric
• Designs new AI platforms for clients
• Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication

• Code review, bug fixing, and new development of program code in PL/SQL and Oracle Forms
• Migration of the database version to Oracle 12/19 and migration of the Oracle Forms environment from client-server to web (6i → 12c)
• Fixing blocking sessions and implementing new workflow requirements
• Use of PL/SQL packages, procedures, functions, database triggers, batch files, and Java applications
• Revision of screen masks based on Oracle Forms and client-side PL/SQL code
• Business handling of issuing and processing vouchers (REI = Reimbursement; EMI = Emission), including billing with acceptance partners
• Agile development based on SCRUM with monthly sprints and weekly coordination meetings

• 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

• 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

• Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
• Backend modernization project (Budget ~€5M 2025 – 2026)
• Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)

• Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
• Definition of modeling standards
• Creation of a conceptual and logical model for the entire Abu Dhabi government administration
• Definition of data quality and data security standards

• Business intelligence and digitization projects

• Controlling as a Service

• Financial accounting and payroll

• Interim management

• Business Intelligence Competence Team (2025) at a food retail company (EUR 21bn revenue, 52k employees): project work at the interface between the finance department and the IT service provider; various implementation projects in reporting and business intelligence

• Consulting services (2025) for a biotech startup (EUR 5m revenue, 25 employees): optimizing and automating accounting and controlling processes; introduction of a central data warehouse system for planning and reporting

• Consulting services (2025) in the broadcasting and telecommunications industry (EUR 130m revenue, 200 employees): analysis and troubleshooting of financial processes in the BSS system (customer management and billing system)

• Consulting services (2024) in the broadcasting and telecommunications industry (EUR 130m revenue, 200 employees): transfer and implementation of cost accounting into a new database system

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

Oracle PL/SQL, Oracle SQL, ITIL

• 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