Digital Twins (DTs), when integrated with physical systems and their virtual representations, can support real-time analysis, simulations, and decision-making. A major barrier to creating DTs is the effort required to put together the techniques and technologies developed by subject experts. DT platforms like Digital Twin as a Service (DTaaS) help in DT development by creating collaborative environments in which users can develop, use, and share DTs. While experts can create and customize DTs to their needs, non-expert users benefit from automated solutions for on-demand deployment and execution of DTs. Modern software engineering practices such as Development and Operations (DevOps) have produced architectural solutions for scalable deployment of software products. In this work, we present our contribution to the integration of DevOps workflows with DT platforms like DTaaS. We develop a human heart DT for ECG-based preventive diagnostics. The same DT is used to demonstrate an implementation of DevOps workflows on DTaaS platform. We find that our proposed solution is suitable for time-sensitive applications and flexible enough to be used with other DT platforms.