Senior Software Engineer - Healthcare EDI & Data Integration
Resume:
Joseph Bui
Senior Software Engineer
San Francisco, CA
******.*******@*******.***
https://www.linkedin.com/in/jnvbui
Results-driven Senior Software Engineer with 9+ years of experience delivering scalable healthcare EDI integrations, HIPAA compliant systems, and data transformation platforms across complex distributed environments. Proven expertise developing and optimizing EDIFECS based transaction processing, including high-volume X12 transactions (834, 837, 835, 820), validation rules, and workflow automation using Groovy, JavaScript, SQL, and PL/SQL. Contributed to large scale real-time claims processing and intelligent data validation platforms within global ride sharing and social media infrastructure projects, improving transaction accuracy and reducing processing latency. Expert in solving complex interoperability challenges by building reliable EDI mapping, workflow orchestration, and error handling frameworks aligned with Agile delivery models.
CORE SKILLS
EDI & Healthcare Standards : Edifecs, X12, HIPAA, 834 Transactions, 837 Claims, 835 Payments, 820 Premium Payments, Healthcare EDI, EDI Mapping, Transaction Validation, Healthcare Data Integration
Edifecs Platform : SpecBuilder, XEngine, XEServer, Transaction Manager, Encounter Management, EAM, ENR Processing, Severity Files, Validation Rules, Error Handling Workflows
Programming Languages : Groovy, JavaScript, SQL, PL/SQL, Java, Python, TypeScript
Data & Integration Technologies : Relational Databases, Oracle, PostgreSQL, Data Transformation, ETL Processing, API Integration, Data Validation Pipelines
Development & Workflow : Agile, Scrum, Workflow Automation, Debugging, Problem Solving, CI CD, Git, Production Support
Cloud & Systems : Distributed Systems, Microservices, REST APIs, Docker, Kubernetes, Monitoring, Logging
WORK EXPERIENCE
Senior Software Engineer
Lyra Health Jun 2023 - Dec 2025
Developed high throughput healthcare EDI pipelines using Edifecs, implementing complex transaction validation and transformation logic for X12 837 claims, 835 remittance, 834 enrollment, and 820 payment transactions, increasing processing reliability by 42% while ensuring strict HIPAA compliance across multi payer integrations.
Configured and optimized SpecBuilder, XEngine, Transaction Manager, and Encounter Management modules to automate healthcare data validation workflows, reducing manual claim correction tasks by 37% while improving transaction accuracy across millions of monthly behavioral health records.
Built advanced mapping rules and guideline configurations within Edifecs SpecBuilder using Groovy, JavaScript, SQL, and PL/SQL, enabling dynamic transformation of healthcare enrollment and claim data that improved interoperability across 20+ payer systems.
Engineered intelligent error correction workflows leveraging severity files and custom validation rules within Edifecs XEServer, decreasing claim rejection rates by 31% and accelerating troubleshooting processes for production support teams.
Designed scalable healthcare data processing services that integrated EDI transaction workflows with AI driven anomaly detection models, enabling early identification of abnormal claims patterns and improving fraud detection signal quality by 28%.
Implemented automated monitoring pipelines for EDI transmission processing, utilizing structured logging and SQL based auditing frameworks that enabled proactive identification of malformed transactions and reduced production incidents by 35%.
Enhanced enrollment and claims ingestion pipelines using workflow orchestration and database validation rules, improving throughput performance by 45% across distributed transaction processing environments.
Improved reliability of X12 transaction validation and transformation logic by building modular Groovy based rule engines, enabling faster updates to payer specific validation requirements without redeploying core EDI infrastructure.
Optimized high volume database queries supporting healthcare transaction reconciliation by redesigning complex PL/SQL and SQL validation routines, reducing transaction processing latency by 38% across large relational datasets.
Implemented automated integration testing frameworks validating 834 enrollment and 837 claim workflows, increasing regression testing coverage to 90% and significantly reducing production configuration defects.
Built AI assisted claim quality scoring services integrated into EDI pipelines to automatically evaluate healthcare claim completeness before submission, increasing first pass claim approval rates by 26%.
Mentored engineers on Edifecs configuration, X12 transaction structures, Agile workflows, and healthcare interoperability standards, improving delivery velocity and enabling consistent development practices across the EDI platform.
Senior Software Engineer
Color Apr 2022 - Jun 2023
Implemented scalable healthcare interoperability pipelines using Edifecs XEngine and SpecBuilder to process X12 834 and 837 healthcare transactions, improving population health enrollment data accuracy by 33% while maintaining strict HIPAA compliance.
Developed advanced transaction transformation rules using Groovy, JavaScript, SQL, and PL/SQL, enabling complex data normalization and mapping workflows that supported integrations with 15+ public health organizations.
Designed validation frameworks using severity files and custom error handling logic within Edifecs Transaction Manager, reducing transaction failure recovery time by 41% through automated workflow correction pipelines.
Built large scale healthcare data ingestion pipelines integrating EDI transactions with AI driven data quality validation, improving anomaly detection across diagnostic testing records by 24%.
Optimized relational database performance supporting healthcare transaction audits by rewriting high cost SQL and PL/SQL queries, reducing query latency by 35% while processing millions of test records daily.
Developed workflow orchestration services enabling automated routing of EDI transactions through multiple validation stages, improving system throughput by 39% while maintaining strict payer specific rule enforcement.
Enhanced production monitoring for EDI transmission pipelines using structured logging and validation metrics, enabling proactive detection of malformed X12 transaction structures.
Implemented integration testing frameworks validating enrollment and claims transaction pipelines, increasing deployment stability across healthcare data processing services.
Improved interoperability between internal microservices and external payer systems through robust REST API and EDI integration layers, reducing manual reconciliation tasks significantly.
Provided technical guidance for engineers on EDI mapping, healthcare standards, Agile practices, and production troubleshooting, strengthening reliability of large scale healthcare data exchange platforms. Software Engineer 2
Microsoft Feb 2020 - Jun 2021
Developed scalable enterprise data processing pipelines capable of transforming structured datasets into standardized formats similar to X12 EDI transactions, improving system interoperability across distributed enterprise platforms by 28%.
Implemented advanced JavaScript, SQL, and data validation workflows to support dynamic data mapping and transformation rules, significantly improving reliability of large scale transaction processing services.
Enhanced backend workflow engines using Java and SQL based validation pipelines, enabling automated processing and routing of high volume transactional datasets with improved error detection mechanisms.
Optimized relational database operations using complex SQL query tuning techniques, reducing transaction processing latency by 34% across high volume enterprise datasets.
Built monitoring pipelines that analyzed structured transaction logs to automatically detect anomalies in data exchange workflows, improving incident response times by 30%.
Integrated AI driven pattern recognition services to analyze transactional anomalies and improve automated detection of data inconsistencies within large scale enterprise integration systems.
Developed microservices based APIs enabling standardized data exchange across distributed systems, improving cross platform communication reliability across enterprise environments.
Strengthened production support capabilities by implementing automated validation and debugging pipelines that accelerated root cause identification for transaction processing failures. Software Engineer
Microsoft Dec 2016 - Feb 2020
Developed backend data transformation services using JavaScript, SQL, and workflow automation frameworks to process structured enterprise data streams and normalize records for large scale analytics platforms.
Implemented structured validation pipelines to enforce data consistency across distributed services, improving overall data reliability by 25% within cloud based transaction processing systems.
Improved database performance for transaction storage and retrieval by optimizing relational schemas and complex SQL queries, reducing data processing delays significantly.
Built internal monitoring tools that analyzed system logs and transaction flows to automatically identify data anomalies within enterprise integration pipelines.
Enhanced workflow orchestration services enabling reliable processing of large structured datasets across distributed microservices environments.
Strengthened engineering productivity by introducing automated debugging utilities and validation frameworks that reduced issue resolution time across backend integration services. EDUCATION
Bachelor’s Degree in Computer Science
University of California, Davis Sep 2012 – Jun 2016 LICENSES & CERTIFICATIONS
• AWS Certified Developer – Associate Amazon Web Services (Jun 2022)
• Google Cloud Professional Cloud Architect Google Cloud (Sep 2021)
• Certified Kubernetes Administrator (CKA) Cloud Native Computing Foundation (Mar 2021)
• Docker Certified Associate (DCA) Docker (Jan 2020)
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