MedTech IoT Platform on Azure
Re-architected and migrated B. Braun’s MedTech IoT proof-of-concept into a scalable, secure, and production-grade Azure cloud platform for device data ingestion, analytics, and visualization.
Impact
Delivered a production-ready IoT cloud platform enabling secure device data ingestion and advanced analytics
B. Braun MedTech IoT Platform on Azure
Overview
At B. Braun, a leader in medical technology and life sciences, this project focused on transforming an IoT proof-of-concept solution into a scalable, production-grade Azure platform.
The platform was designed to securely handle IoT device data ingestion, processing, storage, and visualization — empowering real-time insights and analytics for connected medical devices.
As part of the transformation, the architecture was re-engineered using Infrastructure as Code (Terraform), CI/CD pipelines were implemented via Azure DevOps, and Azure-native services were integrated for monitoring, analytics, and alerting.
Role & Responsibilities
As Cloud Systems Architect, I led the design, migration, and implementation of the IoT cloud platform, ensuring scalability, compliance, and operational excellence.
- Migrated existing IoT solution from proof-of-concept to Azure production platform
- Implemented Infrastructure as Code (IaC) using Terraform for reproducible deployments
- Built and maintained CI/CD pipelines with Azure DevOps for automated delivery
- Integrated Azure IoT Hub for secure device connectivity and telemetry ingestion
- Designed data pipelines using Azure Data Factory and Databricks for transformation and analytics
- Configured monitoring, logging, and alerting via Azure Monitor, Insights, and Alerts
- Deployed front-end applications through Azure Static Web Apps
- Facilitated stakeholder alignment sessions ensuring transparency and compliance across teams
Applied Methods & Tools
- Infrastructure as Code (IaC): Terraform modules for scalable, consistent provisioning
- CI/CD Automation: Azure DevOps Pipelines for build, test, and deployment automation
- Project Management: Agile / Scrum for collaborative and iterative delivery
- Version Control: Git-based workflows for code reviews and traceability
- Testing & Validation: Automated pipelines ensuring reliable, secure deployments
- Stakeholder Communication: Regular progress reporting and compliance reviews
Applied Technologies
- Azure IoT Hub: Secure device connectivity and telemetry ingestion
- Azure Storage Account: Scalable, compliant data storage for medical applications
- Azure Data Factory: Orchestrating complex data workflows and integration pipelines
- Azure Databricks: Data transformation and advanced analytics processing
- Azure Logic Apps: Workflow automation and system integration
- Azure Static Web Apps: Hosting secure front-end applications
- Monitoring & Observability: Azure Monitor, Application Insights, and Alerts
- Infrastructure & Automation: Terraform and Azure DevOps for IaC and CI/CD pipelines
Impact
- Successfully migrated and operationalized the MedTech IoT platform to Azure
- Delivered a secure, compliant, and scalable architecture aligned with medical industry standards
- Enabled real-time analytics and data-driven insights for connected medical devices
- Improved deployment reliability and engineering productivity through CI/CD automation
- Strengthened cross-functional collaboration and transparency with stakeholders
Summary
The B. Braun MedTech IoT Platform exemplifies how enterprise IoT systems can evolve from prototype to production through cloud-native design, automation, and governance.
By leveraging Azure’s ecosystem — from IoT Hub to Databricks — and codifying infrastructure through Terraform, this project delivered a robust, compliant, and intelligent IoT solution that supports B. Braun’s innovation in medical technology.