Azure DevOps Experts in Munich

Subproject management in an agile IT environment

Leading a software development team (10 employees)

• Leading a software development team with 10 employees
• Budget responsibility approx. 3 million Euros per year
• Conducting employee and job interviews
• Responsibility for resource planning (budget and employees)
• Digitalization of a web interface
• Regular reporting to clients and stakeholders (C-level)
• Product management: developing and implementing product strategies; defining requirements to steer product development
• Designing product development & continuous testing efficiently to quickly incorporate feedback & compliance points
• Close collaboration with stakeholders & various teams to understand requirements, define priorities, ensure rollout, and increase user-friendliness
• Project experience in an energy industry company, including the functioning of energy markets, the basics of energy generation and distribution, as well as current challenges and developments in the industry
• Project experience in the railway sector - including the structure and operation of railway systems.
• Project experience within the 16.7 Hz traction power sector including knowledge of regulatory processes
• Formulating the subproject charter and the project profile according to the project standard together with the project management
• Steering performance delivery according to the project charter
• Planning and steering human resources including budget planning for the subproject
• Ensuring the working capacity of subproject participants, e.g., by requesting access rights and documents for the subproject team
• Planning and steering for the respective subproject (Time, Scope, Budget) including the creation of necessary documents
• Coordinating with the department and Product Owners to plan the subproject scope and the corresponding implications
• Conducting milestone planning according to the agreed process model
• Effort estimation and support of subproject controlling as well as overall project controlling in forecasting and planning
• Reporting subproject status (according to status slide template) including progress (according to progress measurement)
• Analyzing, preparing, and addressing needs for action and decisions
• Escalating subproject issues to project management
• Creating and managing Change Requests (CR)
• Quality assessment of completed task packages from a project management perspective (Time, Scope, and Budget)
• Steering the implementation of cross-cutting specifications and requirements in the subproject, supported by cross-functional roles on the business and technical side.
• Identifying, steering, documenting, and communicating opportunities, risks, and dependencies within and across subprojects
• Supporting project management in creating the overall project plan and overall status reports
• Preparing and steering commissioning including required documents and protection requirements assessment

Scrum Master in an agile IT environment supporting a software development team in the fullstack area (7 people)

• Close collaboration with stakeholders & various teams to understand requirements, define priorities, ensure rollout, and increase user-friendliness
• Introducing the selected Scrum method, including the required events, meetings, artifacts (Product Backlog, Sprint Backlog, Burndown Charts), metrics, and conducting required training in an agile IT environment
• Preparing Scrum events such as Daily, Retrospectives, Review, Sprint Planning, Estimation, and Refinement (agile way of working)
• Facilitating retrospectives and removing impediments to drive the team and product forward
• Preparing action points and retros via Whiteboard and Figma
• Applying and improving agile methods such as Kanban, Scrum, SAFe, or Scrum of Scrums
• Tracking the "Definition of Done" and "Definition of Ready" for all work results of the development team
• Advising on information flow and communication improvements between Product Owner and project team
• Experience with automation, validation such as mandatory field checks, notification functions, creating filters, boards, and reports via JQL, and setting up Cycle Time
• Using Jira & Confluence
• Setting up progress measurement for project management to transparently map planned vs. actual team capacities and actual effort for user stories
• Measuring team progress: creating team KPIs: "Velocity", "Burn-Down Chart", "Throughput", "Costs", "Quality", "Scope"
• Evaluating agile metrics, process management, and process modeling methods (BPMN, EPC, UML)
• Communication and moderation know-how
• Proven methodological competence in conflict resolution discussions

• Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
• Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
• Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.

• Designed role-based delivery assignment workflows, switchable between own fleet and partner carriers, with traceable status chains from „pending“ to „in delivery.“
• Designed AI-assisted route optimization, where dispatchers review drive-time-optimized route suggestions as drafts and apply them in one click.
• Designed a central planning interface for delivery and route management, bringing table view, map view, and route composition into a single workflow.
• Built interactive prototypes to align new product features early with stakeholders and engineering.

Key methods: AI-assisted Product Design, Workflow Design, Role-Based Workflows, Dashboard Design, Interaction Design, Prototyping, Logistics/Operations UX, Stakeholder Collaboration

• Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
• Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
• Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
• Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
• Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
• Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
• Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
• Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
• Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.

• Responsible for introducing agile methods within the Interface & Integration Team (2 Scrum Teams)
• Planning and delivering trainings in agile methods
• Facilitating workshops and Scrum events
• Removing impediments
• Increasing sprint performance

• 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

• Configured Topics, Microsites into rich content portal widgets, Content Library, landing pages and automated client portal data sync, reducing manual effort by 80% and elevating self-service engagement.
• Architected optimal display across devices and varying resolutions to enhance user accessibility and experience.
• Set up and customized Azure VM integration by utilizing Catalog Items, PowerShell scripting and workflow orchestration.
• Analyzed and translated business requirements into scalable solutions, leveraging ServiceNow scripting to enhance platform functionality and elevate user experience.

Key ServiceNow Skills: Service Portal, Widget Development, Catalog Items, PowerShell Scripting, Workflow Orchestration, Content Management.

• AI Integration (LLM & RAG): Design and build of an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data for the automated analysis of technical documents and error logs.
• Design & Implementation: Design of a robust RS-232/UART communication interface for an SBC-based embedded device to control medical shaker systems.
• Architecture & Protocol Design: Implementation of a highly maintainable software structure (OOP, SOLID) and definition of hardware-close, resilient communication protocols including multithreading and advanced error handling.
• Quality Assurance & DevOps: Test automation using xUnit, integration tests directly on the hardware target, and maintenance of technical documentation according to strict medical technology standards via Azure DevOps.

Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps

• Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
• Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
• Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
• Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
• Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
• Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
• Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
• Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
• Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
• Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
• Integration of RESTHeart to create a REST API for MongoDB.
• Build an Angular frontend to simplify data queries and master data maintenance.
• Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
• Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).

• Led performance engineering strategy for MS Dynamics 365 retail transformation
• Coordinated 25+ engineers across multiple delivery streams
• Identified and resolved system bottlenecks, reducing critical performance issues by 40% pre-go-live
• Delivered executive performance dashboards enabling data-driven release decisions

• Built a Python pipeline that converts lectionary web content into structured daily JSON, applying liturgical-calendar rules for accurate weekday and Sunday coverage.
• Shipped a read-only FastAPI REST API with shared Pydantic models and delivered a Kirundi-first web client for browser and mobile use.
• Owned the data layer and backend architecture, collaborating closely on system architecture and interfaces while automating refreshes with GitHub Actions and validating the ETL with pytest.
• Impact: Created a reliable, API-driven source of truth for daily Bible readings in Kirundi, enabling consistent access to previously unstructured content.

Task

• Further development of a new ERP system with Blazor
• Creation of e-invoices in the XRechnung and ZUGFeRD formats
• UI/UX design Client-server system
• Windows 11 Technology
• Microsoft .NET 9, Git, Azure DevOps, ASP.NET, MSSQL, Blazor Programming languages
• C#, MVVM Development tools
• Microsoft Visual Studio .NET 2022 Database
• MSSQL Industry
• Other

• Analyzing, aligning and modeling business processes (BPMN 2.0) for the 'The New Retail' program in the areas of invoicing, tax, customs and accounting
• Tracking user stories and their impact on processes
• Point of contact for preparing the tool migration from Symbio to Signavio for the mentioned areas
• Power user after the introduction of Signavio, point of contact and coach for other process modelers