Surveillance and Interoperability Data Engineering

1. Interoperability Middleware Design

• Design and develop technical specifications for an interoperability middleware based on client's SMART Guidelines.
• Support subject matter experts in defining and validating data dictionary mappings.
• Design mapping logic between surveillance systems such as DHIS2, SORMAS, Go.Data, OpenELIS , and other health information systems.
• Identify interoperability gaps and propose scalable technical solutions.
• Document architecture decisions, interoperability workflows, and design trade-offs.
• Develop specification frameworks aligned with client's SMART Guidelines, ICD-11, LOINC, SNOMED CT, and other healthcare interoperability standards.
• Contribute to the design of AI agent frameworks and orchestration layers supporting data integration.

2. Canonical Data Model & Data Ingestion

• Design and ...