Pavan User
@pavanuser9
MuleSoft integration developer specializing in secure, API-led enterprise integrations.
What I'm looking for
I’m a MuleSoft Integration Developer with around 5 years designing, developing, and supporting enterprise integration solutions on MuleSoft Anypoint Platform and Mule 4. I build scalable integrations using API-led connectivity, REST/SOAP APIs, and DataWeave 2.0, delivering secure data exchange across domains like healthcare, wealth management, claims processing, and client onboarding.
In my roles, I create reusable integration services, implement API security with OAuth 2.0, JWT, and TLS/SSL, and strengthen reliability through MUnit/Postman testing and Anypoint Monitoring and Splunk. I also drive delivery with Agile collaboration and automate CI/CD using Jenkins, Git, Maven, and CloudHub—while optimizing performance via tuning, connection pooling, and caching strategies.
Experience
Work history, roles, and key accomplishments
Developed and maintained MuleSoft Anypoint Platform (Mule 4) REST APIs and integration flows for secure data exchange across wealth management, client onboarding, and financial reporting systems. Built API-led connectivity, implemented DataWeave transformations, integrated Salesforce/Oracle/OCI, and supported monitoring, testing, and CI/CD deployment.
Assisted in developing MuleSoft Mule 4 integration solutions for university systems, including REST API development and DataWeave transformations for data exchange. Supported CloudHub deployments, CI/CD activities, application monitoring, and API testing.
Designed and developed MuleSoft Mule 4 APIs and integration flows for healthcare provider operational workflows and enterprise backend systems. Implemented secure data exchange (including OAuth 2.0/JWT), batch/scheduler-based workflows, DataWeave transformations, and monitoring/testing using Anypoint Monitoring and Splunk.
Contributed to MuleSoft integration services supporting healthcare operational systems, including RESTful APIs and Mule 4 integration flows. Supported API-led connectivity, developed DataWeave transformations, implemented secure communication (JWT), and participated in testing, deployment, and production support activities across environments.
Education
Degrees, certifications, and relevant coursework
Texas Tech University
Master of Science in Computer Science, Computer Science
2025 - 2026
Grade: GPA: 3.75/4.0
Master of Science in Computer Science at Texas Tech University (Jan 2025–May 2026), with a GPA of 3.75/4.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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