BI Developers in Germany

Engaged as an independent BI consultant for a FinTech SaaS platform, building and maintaining the end-to-end Microsoft Azure and Fabric analytics stack behind a multi-tenant accounting product used by business owners to track their own financial performance.

• Partnered with finance stakeholders to translate complex accounting workflows into real-time BI dashboards (P&L, Cash Flow, Balance Sheet), helping 2000+ business owners track cash flow and overall financial health effortlessly.
• Developed 10+ interactive dashboards, giving each business owner personalized, real-time visibility into their own sales performance, accounts receivable aging, and operational costs.
• Enforced strict enterprise data governance by implementing dynamic Row-Level Security (RLS) via DAX to isolate each business owner's data within the shared multi-tenant model.
• Maintained and extended an Azure ELT pipeline (Azure Data Factory, Azure SQL Database, Azure Synapse) that automated data ingestion and transformation.
• Contributed to a team-wide platform migration from Azure to Microsoft Fabric to optimize capacity licensing costs.
• Designed and implemented a Microsoft Fabric ELT pipeline (Lakehouse, Pipelines, PySpark) that automated data ingestion and transformation, replacing the prior Azure pipeline.
• Modeled cleansed data into a Star Schema within the data warehouse using T-SQL, powering the Power BI Semantic Model.
• Leveraged AI tools, including Copilot and Claude, as development partners across the entire ELT pipeline, from data ingestion to KPI reporting and visualization.
• Supported agile delivery processes, using Jira to track development tasks and Confluence to maintain technical and project documentation.

• Architected an enterprise Fabric-based data-product governance framework, authoring data contracts and schema-validation KPIs to enforce completeness, freshness and SLA standards across reporting data products.
• Operationalized pipeline observability by integrating Dagster orchestration data into automated data-health reporting, proactively validating data integrity and pipeline reliability before production reporting layers refresh.
• Established BI-as-Code and end-to-end governance through Git-based version control, CI/CD and Alpha→GA release management, strengthening lineage, schema-drift detection and production change traceability.

• Taught ML, BI, and Big Data to Master's students.

Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM

• Managing Director of Vishnu Artists GmbH in Berlin (since 01/2025, together with Benedikt Irsch).
• Responsible for the company's finance, planning and reporting; working with DATEV.
• Reporting with Power BI as well as planning and analysis models in Excel as a basis for management decisions.
• Selection, development and implementation of AI-supported tools in the company, including Flow Compass.
• Co-host of the Vishnu AI Freelancer Meetup, which takes place every four weeks on Miro; exchange about the practical use of AI applications in coaching and facilitation.

• Taught Python, Pandas, data analysis, visualization and Power BI to 250+ students.
• Guided practical projects from data preparation and exploratory analysis through visualization and dashboard creation.
• Explained complex analytical concepts clearly to audiences with different levels of technical experience.

• Interim SAP BW Senior Consultant

• Analysis and optimization of the analysis authorization concept

• Analysis of the existing SAP BW authorization concept, particularly the mechanisms for assigning analysis authorizations to various organizational units.

• Development of an enhanced concept to standardize authorization management.

• Prototypical implementation of a solution for multidimensional authorization linking without additional CompositeProviders.

• Use of dynamic control via Customer Exits in combination with an authorization ADSO, in which permitted combinations can be centrally maintained.

• Application of the Cartesian product concept for precise modeling and authorization of permitted combinations from multiple analysis authorization dimensions, enabling flexible and consistent access control.

• The new structure simplifies the management of complex authorizations, reduces redundancies, and makes extensions easier.

• It was initially implemented as a prototype to create a well-founded basis for decisions regarding further strategic direction.

• After successful validation and positive evaluation by the project team, the solution was further developed productively as part of a User Story and rolled out across the entire SAP BW system.

• Virtual key figures & OLAP calculations

• Capital Lock Up Ratio (CLR%)

• Development and implementation of complex virtual key figures using BAdI RSROA_OLAP_BADI, including:

• Net Service Revenue – 3 Month: Dynamic calculation of three-month totals across all periods of the selected year.

• Capital Lock Up Ratio %: Key figure for measuring capital tied up, calculated as the ratio of NSR to the cumulative NSR three-month total from P1 to the current drilldown period; used to analyze how much capital is tied up in the company before it is converted into revenue – essential for liquidity management.

• Implementation of a mechanism for simultaneously passing two FISCPER intervals:

• One interval for displaying the period.

• One interval for restricting the data.

• Objective: Implementation of a moving average based on a dynamic drilldown period to determine capital tied up accurately for each period.

• Account hierarchy-based key figure management

• Development of dynamic key figure assignment based on account hierarchy nodes as an enhancement of the existing key figure management solution.

• Implementation of BAdI RSROA_OLAP_BADI combined with an easy-to-maintain Customizing table in which the rules for key figure assignment can be defined flexibly.

• Runtime-based mapping of approx. 135 key figures according to the individually maintained rules, without manual system changes.

• Replacement of an earlier AMDP-based SQL logic in which every change to a node or key figure required a code adjustment, clearing the ADSO, and a time-consuming reload (approx. 2 hours).

• The new solution enables ad hoc adjustments via SM30 maintenance – without a new transport, without data reloading, and with significantly reduced system load.

• Significant reduction in maintenance and development effort.

• Avoidance of long loading times and complex AMDP adjustments.

• Increased flexibility in managing key figure assignments, effective immediately without system changes.

• Improved performance and flexibility when analyzing reports.

• Significant reduction in maintenance effort through dynamic control and modularization.

• Contribution to the strategic development of the reporting and authorization system in the SAP BW environment.

• Development of a generic ABAP framework for integrating SAP Analytics Cloud (SAC) Export APIs into SAP BW/4HANA

• Design and implementation of a reusable handler and service class architecture for the automated transfer of data from SAC into BW ADSO structures.

• Automated push reporting with dynamic query integration (SAP BW/4HANA)

• Design and implementation of an ABAP-based push reporting framework for automatic email notifications based on BW query results.

• Development of a central ABAP class for generating the HTML email body, including embedded MIME images (KPI screenshot, logo, etc.) and dynamic recipient management.

• Remote hierarchy & access concept for user-specific WBS structures (Deloitte, 2025/2026)

• Design and implementation of a virtual SAP BW/4HANA hierarchy for user-specific control of WBS elements in complex engagement structures. The objective was to eliminate redundant leaf nodes and ensure that each user sees only their own area of responsibility – both in the F4 value help and within analytical queries.

• For this purpose, I developed a fully dynamic hierarchy generator based on an ADSO that determines the relevant subtrees at runtime and makes them available to the system without physical hierarchy loading. The solution eliminated duplicate structure paths, drastically reduced the data volume per user, and enabled secure, high-performance navigation without visibility of other users’ project data.

• I also analyzed system-side limitations of the SAP standard F4 hierarchy resolution and, based on this, developed an alternative input and proposal concept for users with global views (“ALL”), fulfilling both security and performance requirements.

Technological focus: BW/4HANA, virtual/remote hierarchies, ADSO design, ABAP-based runtime generation, complex F4 logic, access concepts, performance optimization of large hierarchy structures.

• Develop data products as part of a Data Mesh / Medallion architecture on Databricks and Azure Synapse.
• Build Power BI dashboards using consolidated data from multiple source systems (sales, service, contracts, inventory data).
• Define KPIs and reporting standards in close collaboration with business stakeholders.

Enterprise Analytics Modernization – Germany-based enterprise reporting platform for operations and management analytics, used by 1,000+ internal users across multiple departments.

• Lead end-to-end Power BI and Microsoft Fabric reporting initiatives, delivering scalable dashboards and semantic models supporting daily operational and strategic decisions, achieving 30% faster decision turnaround and 25% reporting efficiency gains.
• Designed unified enterprise datasets using Microsoft Fabric Lakehouse and OneLake, automating historical data processing and reducing manual reporting effort by 40%.
• Built and maintained automated ingestion pipelines using Fabric Dataflows Gen2 and Data Pipelines, improving data refresh reliability to 99.8% uptime and ensuring consistent data quality.
• Implemented enterprise reporting governance, including Row-Level Security (RLS), workspace strategy, deployment pipelines, and documentation, increasing dashboard adoption by 35%.

Technologies used: Power BI, Microsoft Fabric, DAX, Power Query, SQL, Azure Data Fundamentals, Semantic Modeling, RLS, Agile

• Leading enterprise BI transformation across Power BI & Microsoft Fabric, delivering scalable data models, automated reporting, and high-performance analytics solutions for commercial and operational leadership.
• Building and optimizing Power BI Dataflows, Fabric Lakehouse datasets, semantic models, and automated reporting pipelines to improve data scalability, governance, and reporting performance.
• Driving dashboard modernization and KPI governance by translating complex business requirements into executive-level insights, interactive visualizations, and decision-ready analytics.
• Designing end-to-end Microsoft Fabric architectures integrating data ingestion, transformation, virtualization, and enterprise reporting across cross-functional business domains with SAP BW to Qlik to Power BI migration.
• Delivering AI-enabled reporting capabilities, threshold-based alerting, and automation frameworks within the Power BI ecosystem to accelerate business decision-making.
• Partnering with commercial leadership, analytics teams, and IT stakeholders to standardize KPIs, optimize BI strategy, and deliver scalable, business-critical reporting solutions.
• Recognized for combining strong stakeholder leadership, technical architecture expertise, and business-driven analytics to deliver impactful enterprise BI transformation initiatives.

Migration of data models to SAP BW/4HANA and development

• Coordination of the migration from BW 7.5 to BW/4HANA
• Coordination of optimization measures
• Coordination of the implementation of work packages
• Requirements analysis with stakeholders

Technologies used: SAP BW/4HANA, ABAP ADT, BW Modeling Tools, ABAP, SAP FI/CO, SAP SD

• Analyzing business requirements and developing customized solutions.
• Interface programming with Python
• Standardizing data models according to Data Vault
• Implementing BI solutions to increase efficiency

DWH for customer and financial data

• Expansion of the DWH to include new data sources
• Report development
• Data quality management

Methodology: Scrum

Tools: Atlassian Confluence & Jira

Databases: Microsoft SQL Server

Programming languages: SQL, T-SQL

ETL: Microsoft SQL Server Integration Services (SSIS)

Frontend platform: PowerBI, Microsoft Reporting Services

Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.

• Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
• Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
• Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
• Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
• BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.

• Establishing the Microsoft Fabric platform with the company as the central data warehouse and reporting system.
• The company migrated several operational systems including D365 to new version. The new data warehouse is based on a Fabric/Power BI architecture with Azure cloud Entra Authentication.

Tasks Performed:

• Full administrative responsibility for the Fabric platform F64 and F32 capacities, as well as two F8 capacities for development and prototyping.
• Integration of Fabric with Microsoft Entra.
• Data modeling for the data warehouse bronze, silver and gold layers using data modeling tools.
• Star Schema as well as entity relationship modeling.
• Data modeling for data marts and for dimensional modeling and Power BI (semantic model).
• Design of data models for Microsoft SSAS multidimensional and tabular OLAP cubes using DAX and MDX.
• Definition of design patterns for the ETL team for loading OLAP cubes (Tabular and MD), star schemas and data vault structures.
• Planning and managing team of 4 ETL and reporting developers.
• Performance Tuning of Power BI reports, particularly the semantic layer, as well as the Fabric notebooks
• SQL Performance Tuning.
• DB Design for Azure SQL.
• Reporting directly to project senior management.

Label: Power BI, Fabric, Analysis Services (multidimensional and tabular), D365, SSIS, Tabular Editor, SQL Server and Azure SQL, TOAD Data Modeler, DBSchema, Visual Studio Code, DAX Studio, SSMS, Visual Studio, Jira and Confluence.