Azure IoT Hub Experts in Germany

I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.

Main Tasks:

• Sprint planning and feature preparation
• Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
• Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
• Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
• Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
• Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
• Manage production releases and execute live data migrations for enterprise customers
• Define engineering standards and architecture patterns for the team

Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL

• Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
• Independently designing analytics solutions with Python, SQL, etc.
• Designing and implementing ETLs and data pipelines
• Creating and maintaining APIs
• Independently applying CI/CD, testing, and version control
• Data modeling
• Model development and optimization
• Anomaly detection with AI
• Predictive analytics

Used technologies:

• Snowflake
• Fabric
• Azure Synapse Analytics
• Azure DataFactory
• Azure Data Lake
• Azure DevOps
• Databricks
• Spark
• CI/CD
• SQL Database
• Python
• Power Platform

• Analysis of legacy codebase and identification of architectural issues, implementing improvements in coordination with the Product Owner.
• Development of clean, efficient, and fully documented code following established software engineering practices and standards.
• Analysis of Erlang components in backend and device layers to provide recommendations for ensuring stable system operation.
• Setup and optimization of CI/CD pipelines on client infrastructure, including testing, debugging, and certificate management quality assurance.
• Participation in planning, design, and implementation of epics and stories according to Product Owner specifications.
• Technical consultation for Product Owner regarding Erlang codebase management and best practices.
• Collaboration with Product Owner, Scrum Master, and development team to ensure timely delivery of features.
• Elixir & Phoenix + PostgreSQL
• Erlang
• IoT
• CI/CD
• Git
• Agile/Scrum
• Docker
• Kubernetes
• Frontend (VueJS)
• Embedded Devices

• Design and provide best practices on data modeling for dbt, including changing dimensions, late arriving data handling, and testing
• Design the ingestion flow from other systems into S3 and Redshift
• Design and implement new partitions for Dagster and incremental loading with dbt
• Map business requirements to technical architectures
• Instruct junior team members

• Realtime monitoring and analysis of individual devices, device groups, or the entire machine park

• Data evaluation of one or more measurement systems or a complete machine park to compare devices

• Data export as .csv file for: utilization, usage, collisions, measurement plans and temperatures

• Notifications via browser and email

• Analysis of project requirements and goals

• Implementation of UI components and features based on design specifications

• Development of RESTful APIs with C# .NET

• Implementation of business logic and server-side data processing

• Review of code changes by other developers

• Azure IoT infrastructure, Cosmos DB, Angular, .NET 6

• C#, Typescript, REST

• Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
• Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
• Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
• Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
• Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)

• Conceptualized a software interface in a large-scale project for the defense sector. No details can be shared due to classified information confidentiality.
• Designed and developed a reporting application for the acceptance testing of coordinate measuring machines according to the ISO 10360 standard series. Coordinated and led review meetings to clarify requirements within an international corporation.
• Developed a tool to back up and restore machine configurations for service operations on coordinate measuring machines.
• Consulting project to optimize and enhance an Access application for administrative tasks in an engineering office.
• Designed and developed production software for parameterizing coordinate measuring machines. Shaped the interfaces and developed automation to generate configuration bundles for different machine setups.
• Developed a service application for geometric calibration of coordinate measuring machines based on end measurement data.
• Developed a maintenance app for updating and configuring water dispensers. Managed the project through to app launch and trained and handed over the project to a client employee.
• Migrated a maintenance app for smart water filters, including finalizing it for app launch and further developing the app to support multiple protocols.

Technologies: Git, Visual Studio Code, Confluence, Protobuf, Agile, C#, .NET, WPF, MVVM, GitHub Copilot, Visual Studio, MSTest, MigraDoc, Azure DevOps, Jira, OpenRPC, JSON, Microsoft Access, Entity Framework Core, Python, YAML, Build Pipelines, WinUI 3, XUnit, Atlassian Stack, Scrum

• Development, operation and support of BI platforms and microservice architectures
• Development of an open-source BI scheduling tool