Microsoft Access Experts

Creation of concepts for M365 implementation, especially Tenants, EntraID, EntraConnect and ExchangeOnline, taking BAS standards into account (mandatory baseline security requirements) in the project "Concept M365" with the aim of transferring the concepts to the M365 environments of Bitmarck and then handing them over to the customer.

• Creation of a current-state analysis of the existing M365 environments as well as the on-premises environments and the BAS standards.
• Creation of concepts for the topics Tenants, EntraID, EntraConnect and ExchangeOnline taking the BAS standards into account
• Design and implementation of an automated solution for creating standardized M365 tenants based on Microsoft M365 DSC (Desired State Configuration)
• Transfer of the concepts into the M365 environments
• Creation of detailed technical documentation

• Planned and developed a CPU monitoring application for monitoring system performance and resource utilization.
• Designed and implemented a Spring Boot backend providing a REST API for processing and exposing monitoring data.
• Developed the React frontend for presenting monitoring information in a clear and user-friendly interface.
• Integrated PostgreSQL for persistent storage and management of application data.
• Containerized the application and its services using Docker Compose.
• Automated infrastructure provisioning and deployment using Terraform on AWS.
• Structured the application as a modern, maintainable system using REST-based communication between frontend and backend.
• Designed and developed a secure, scalable CPU monitoring architecture (cpu-watcher) with a dedicated collector application that streams monitoring data to the backend, reducing direct exposure of system resources.
• Designed a secure cloud infrastructure with the database isolated within a private network and OIDC-based authentication.
• Implemented Infrastructure as Code with Terraform and integrated version-controlled CI/CD pipelines to automate testing, infrastructure changes, and application deployments.
• Designed and implemented the frontend delivery architecture using AWS CloudFront.

Stack: Spring Boot · React · PostgreSQL · REST API · Docker Compose · Terraform · AWS

Project: Process optimization & IT support in an insurance broker office.

Project activities:

• Analysis of processes and definition of requirements
• Consulting for the implementation of a cloud solution (soho)
• Installation and verification of new infrastructure HW
• Cloud installation & configuration
• Definition and creation of use cases
• Performing user acceptance tests (UAT)
• User training / training
• IT support (cloud, PC, server, printer, network)

Label: Insurance, infrastructure, configuration, training, support

• Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
• Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
• Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
• Operationalization of the Data Governance Framework with definition of data standards
• Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
• Training and coaching the data team in migration, data quality, and data modeling

• Create a tracking concept for Google Tag Manager and Google Analytics including data layer, events, triggers, and reporting
• Manage the project team (developers, designers, performance specialists)
• Serve as communication interface between stakeholders and digital departments

Analysis and optimization of end-to-end processes in different business areas such as sales, procurement, order processing and logistics. Redesign of the ERP. Identification of optimization potential, especially in areas with media breaks and manual tasks, as well as creation of a prioritized transformation roadmap with clear business cases and implementation recommendations. Management of automation initiatives. RPA at the production site in China. Evaluation and introduction of relevant AI use cases as well as building basic AI competence in the organization. Training internal employees of the project team and supporting them in the transformation process to develop a continuous improvement culture. Close collaboration with IT and external implementation partners, reporting to senior management.

Main tasks and achievements:

• Analysis of business processes and design of automated processes
• Training and support for employees in China and Germany
• 20% cost savings in logistics
• Regular status reports to management

• Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
• Implementation of automated end-to-end cloud processes
• Development of LLM and NLP models
• Creation of interactive reports
• Support for national and international large corporations as well as medium-sized companies in implementing ML projects

• Strategic consulting for the Head of Brand on brand strategy and change processes
• Analysis of existing processes, resources, and interfaces within the team as well as with internal and external stakeholders
• Development and implementation of recommendations for action to improve processes and increase efficiency
• Project management and change management for the successful implementation of measures
• Management and selection of external service providers to ensure smooth execution
• Optimization of internal processes and interfaces through in-depth analysis and recommendations for action
• Effective acceleration of decision-making and management processes in brand management
• Successful management of external service providers and agencies for more efficient workflows and higher quality

Testing adjustments to customer requests for warehouse / logistics software

Windows 10 / 11 Atlassian Tool Chain Agile testing / Kanban

• Further development and operation of a central backend service for providing vehicle inventory for international Mercedes-Benz online shops
• Further development of a reservation service for vehicles as part of the checkout process
• Design and implementation of a highly scalable end-to-end test architecture with a focus on maintainability, reusability, and a high number of automated test cases
• Development of a multi-layer test infrastructure with a strict separation of test logic and access layers
• Development of an initialization and caching architecture to significantly speed up local and CI/CD-based test runs
• Development of an AI-supported review architecture for automated evaluation and quality assurance of end-to-end tests
• Development of a dashboard for consolidated display of a vehicle context across multiple backend systems, including AI-generated summaries and compact case analyses
• Integration and further development of connections to various reservation systems via Apache Kafka and REST
• Design of new microservices and support with architecture decisions
• Risk analysis and design of microservice migrations
• Technologies: Java, Spring, Spring Boot, Gradle, Maven, Apache Kafka, REST, OpenAPI, Swagger, Github, Confluence, CI/CD, Microservices, AI, LLMs

• Created data pipelines and visualization tools to support sustainable energy decision-making
• Developed insights that could optimize renewable energy deployment and grid integration strategies

• Developing the infrastructure and improving existing infrastructure: Jenkins, Gitlab Pipeline, OpenShift, Docker, Helm Chart, Kubernetes, Artifactory, CodePipeline, CodeArtifact, Python
• Documenting solutions in Jira/Confluence
• Supporting other colleagues in different technical areas

Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI

• Continuous evaluation and prioritization of internal automation needs
• ~20 AI agents in active use: research, content pipelines, document processing
• 5 n8n workflows for automated data and process control
• Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
• Ongoing operation and further development

• Migration of financial data from Microsoft Dynamics to SAP ECC for eleven companies, as well as from SAP S/4HANA to SAP ECC for one additional company. At the same time, an interface from an operational leasing tool to SAP S/4HANA had to be tested from a business perspective and aligned in an audit-proof way.

• Lead and plan the migration work packages, create the migration concept for accounts payable and accounts receivable with active customer-vendor integration, set up the reconciliation and QA method, test management, cutover planning, and audit-proof project documentation.

SAP/business focus: SAP S/4HANA, SAP ECC, FI, Business Partner/CVI, Finance Data Migration, Reconciliation, Test Management, Cutover

• Traceable and audit-proof migration of multiple companies with clear reconciliation logic, strong QA evidence, and controlled cutover.