SAP Datasphere Experts in Germany

Technical environment: BDC

• Design of BDC project: role design, space design, authorization concept, naming convention
• Template development of database artifacts for master and transactional data

Leading a team of four application product owners and driving the transformation of fragmented planning and control systems into an integrated multi-technology Corporate Performance Management platform.

• Acting as the Platform Lead within the OneSAP+ organization, owning strategy, roadmap and delivery of a cross-application CPM platform ecosystem
• Restructured and enabled the product organization, establishing a team of four application product owners and a scalable delivery model with external partners
• Aligned independently developed tools into a unified platform, shifting from fragmented solutions to an integrated, use-case driven product experience
• Delivered a Strategic Capacity Planning application (FPM-S) from concept to launch within five months
• Introduced a new technology stack (AAP) and enabled the development of new applications (e.g. Risk App 2.0)
• Defined the CPM Connect 2030 strategy, establishing a clear target architecture for integrated infrastructure planning
• Designed and implemented a central data product (SAP Datasphere) as a single source of truth, reducing manual processes and enabling near real-time data availability
• Translated complex business requirements into structured, scalable product logic across multiple applications

• Thesis Title: Designing a Semantic Layer for Enterprise Analytics and AI Integration.
• Designed a semantic layer architecture for enterprise analytics that improved dataset discovery, relationship mapping, and governed access to reporting data.
• Built schema discovery and SQL generation workflows across 400+ data products, translating complex data structures into consumable analytics assets.
• Implemented role-based access control, Row-Level Security, and query validation to ensure data quality, governed access, and reliable use of enterprise reporting datasets.

• Analysis of business requirements
• Integration of different data sources such as ERP systems, production systems, and external data sources
• Implementation of load processes and processing logic with MSSQL
• Data modeling and optimization of data models
• Setting up data quality management incl. data profiling with dynamic programming
• Support in designing and establishing data governance, especially in the areas of data quality management and data protection
• Support in developing BI solutions with Tableau to help decision-making processes

IT infrastructure / SAP Grantor / SAP-BTP transformation project in the public sector for the digitalization of government funding programs. The goal was a clean-core-oriented SAP-BTP solution architecture with CAP/RAP services, APIs, integrations and operational readiness for Run, AMO and AMS structures.

• Industry: Public
• Budget 2026 5 Mio EUR
• Budget planned for 2027 8,7 Mio EUR
• Team size 45 FTE

• Lead enterprise architecture, data and AI strategy initiatives across business domains, value streams, SAP, cloud, integration, process intelligence and governance, aligning transformation roadmaps with strategic business outcomes.
• Define enterprise data and knowledge strategy across business domains and enterprise taxonomy, including knowledge graph, data governance with focus on ownership, metadata frameworks, business glossaries, data product orientation, interoperability and AI-enabling architecture.
• Shape AI governance and decision-intelligence strategy using autonomous enterprise concepts, including policies, guardrails, reference architectures and knowledge-based patterns for responsible AI adoption and enterprise knowledge reuse.
• Support SAP S/4HANA cloud migration strategy and evaluate the future SAP ecosystem, including SAP BTP, Integration Suite, Business Data Cloud, SAP Analytics Cloud and Datasphere.
• Drive architecture debt management, portfolio transparency and application rationalization through architecture principles, governance models, decision frameworks and LeanIX-based Enterprise Architecture Management.
• Align business architecture and process intelligence using Signavio to connect value chains, capabilities, processes, data strategy, knowledge flows and transformation roadmaps.
• Define operating models for data governance, architecture governance, cloud, integration, API management, AI governance and knowledge sharing.
• Act as trusted advisor to executive stakeholders and business domain leaders across product, sales, finance, logistics, customer care and shared services.

• Greenfield implementation of S/4HANA Embedded Analytics as well as reporting and planning processes with SAP Analytics Cloud (SAC).
• Integrated production, sales, and inventory planning, as well as financial planning and management reporting.
• Inventory forecasts implemented through SAC Machine Learning.
• Integration of S/4HANA data and HR data (Factorial) into SAP Datasphere (various tables with real-time replication, related data flows, and analytical models)

• Enterprise and IT strategy
• Digital transformation
• Process and portfolio management
• Interim IT management

• Design of a new cloud service
• Requirements Engineering
• API Design (REST API, Kafka)
• Consulting on architecture, feasibility and effort estimation
• Implementation of a microservice architecture
• Implementation of a Spring Boot web service
• Development of REST APIs including business and persistence logic
• Kafka consumers and producers
• Various Excel upload/download scenarios
• Change Data Capture
• Cloud provisioning with IaC/Terraform
• Go-live with 30,000 users
• Operation, support and bug fixing for other services

Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers

• Spearheaded the development of BW Bridge and Datasphere models, integrating S/4HANA, BW/4HANA, and BDC to enable real-time analytics in SAP Analytics Cloud (SAC).
• Designed and implemented Calculation Views using SAP HANA Modeler, aligning with LEONI's requirement for expertise in BW/4HANA modeling and Eclipse.
• Authored comprehensive technical documentation and RICEFW objects, ensuring clarity and alignment with business requirements.
• Conducted training sessions for internal teams on Datasphere and BW Bridge, fostering knowledge transfer and self-sufficiency.

• Bridged business and engineering for enterprise finance clients, designing data products and cloud pipelines in Python, SQL Server, SAP Datasphere, and Tagetik
• Conceived, built, and containerised a Python/FastAPI universal connector that syncs SAP S/4HANA and other SQL/NoSQL sources to Tagetik, deployed on Google Cloud Run and Microsoft Azure, cutting a critical 90-minute data load to approximately 80 seconds (65× faster)
• Architected a medallion-layer SQL Server warehouse ingesting approximately 500 GB/day from 11 ERP instances, automating daily refreshes (full load under 6 minutes) and freeing 20–30 finance staff from days of manual data consolidation
• Led cross-functional workshops to design enterprise EPM target architecture for a leading Southeast-Asian telecom (CAPEX, OPEX, revenue), translating requirements into data-model specifications and integration blueprints now being built by the client’s implementation team
• Delivered selected projects including a consolidated data & reporting warehouse for a global manufacturer (10 k+ employees), NFI reporting for an international management & technology consultancy, and CAPEX/OPEX planning for a Southeast-Asian telecom (20 k+ employees)

• Design, operation, and stabilization of the BW/4HANA and HANA reporting landscape; data modeling, ODP extraction, process chains, and production troubleshooting in a regulated corporate environment.

Consulting