Work

Problem

Three fragmented data sources causing schema drift and support escalations.

Solution

• Unified CRM, support, and billing into single customer spine.
• DataSentinel agent monitoring schema drift and data quality.
• Canonical models with deterministic merges and date normalization.

Outcomes

• 22% churn reduction
• Prevented 12 schema incidents
• Unified 3 data sources

Problem

Secure onboarding and payment workflows across legacy/modern systems.

Solution

• API‑led connectivity (system/process/experience layers).
• CloudHub deploy with Splunk observability; PCI‑DSS‑aware design.

Outcomes

• 30% faster onboarding
• 25% faster incident resolution

Problem

Claims and enrollment flows; PHI handling and CMS standards.

Solution

• Secure APIs for EDI 837/834; HL7 pipeline; Azure deployment.
• SFTP for PHI with strict controls; CMS standards.

Outcomes

• Streamlined eligibility
• Improved clinical interoperability

Problem

Manual scheduling/timesheets with poor visibility.

Solution

• Bidirectional REST for employees/schedules/shifts/timesheets.
• Error handling/logging; CI/CD with Azure DevOps.

Outcomes

• 50% manual entry reduction
• Improved operational visibility

Problem

Lifecycle performance and governance gaps.

Solution

• Runtime upgrade; Kafka streaming; DataWeave transformations.
• C4E standards; reusable assets; lifecycle governance.

Outcomes

• Performance lift
• Reusable components and governance alignment