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Hi, I'm Brian Bertalot, a Senior Java Engineer with 14 years of hands-on experience building large-scale, cloud-native enterprise platforms across healthcare, finance, and data-driven domains. I specialize in Java, Spring Boot, and distributed microservices, and I design systems that comply with HL7, FHIR, HIPAA, PCI-DSS, and enterprise security standards.\n\nI'm a cloud and DevOps advocate, leading end-to-end architecture, CI/CD automation, and multi-cloud deployments on AWS, Azure, and GCP. I mentor teams, collaborate with clinicians and product partners, and deliver resilient, high-performance systems with measurable business impact.…Hi, I'm Brian Bertalot, a Senior Java Engineer with 14 years of hands-on experience building large-scale, cloud-native enterprise platforms across healthcare, finance, and data-driven domains. I specialize in Java, Spring Boot, and distributed microservices, and I design systems that comply with HL7, FHIR, HIPAA, PCI-DSS, and enterprise security standards.\n\nI'm a cloud and DevOps advocate, leading end-to-end architecture, CI/CD automation, and multi-cloud deployments on AWS, Azure, and GCP. I mentor teams, collaborate with clinicians and product partners, and deliver resilient, high-performance systems with measurable business impact.

Brian Bertalot

Full Stack Developer, Back-End Developer, Web Developer, +2

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Hi, I'm Brian Bertalot, a Senior Java Engineer with 14 years of hands-on experience building large-scale, cloud-native enterprise platforms across healthcare, finance, and data-driven domains. I specialize in Java, Spring Boot, and distributed microservices, and I design systems that comply with HL7, FHIR, HIPAA, PCI-DSS, and enterprise security standards.\n\nI'm a cloud and DevOps advocate, leading end-to-end architecture, CI/CD automation, and multi-cloud deployments on AWS, Azure, and GCP. I mentor teams, collaborate with clinicians and product partners, and deliver resilient, high-performance systems with measurable business impact.…Hi, I'm Brian Bertalot, a Senior Java Engineer with 14 years of hands-on experience building large-scale, cloud-native enterprise platforms across healthcare, finance, and data-driven domains. I specialize in Java, Spring Boot, and distributed microservices, and I design systems that comply with HL7, FHIR, HIPAA, PCI-DSS, and enterprise security standards.\n\nI'm a cloud and DevOps advocate, leading end-to-end architecture, CI/CD automation, and multi-cloud deployments on AWS, Azure, and GCP. I mentor teams, collaborate with clinicians and product partners, and deliver resilient, high-performance systems with measurable business impact.

Available to hire

Hi, I’m Brian Bertalot, a Senior Java Engineer with 14 years of hands-on experience building large-scale, cloud-native enterprise platforms across healthcare, finance, and data-driven domains. I specialize in Java, Spring Boot, and distributed microservices, and I design systems that comply with HL7, FHIR, HIPAA, PCI-DSS, and enterprise security standards.\n\nI’m a cloud and DevOps advocate, leading end-to-end architecture, CI/CD automation, and multi-cloud deployments on AWS, Azure, and GCP. I mentor teams, collaborate with clinicians and product partners, and deliver resilient, high-performance systems with measurable business impact.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Senior Java Engineer / Team Lead at HCA Healthcare

July 1, 2018 - Present

Led large-scale modernization of HCA's Electronic Health Record (EHR) and clinical integration platforms, architecting Java 16/17, Spring Boot 3, and Spring Cloud–based microservices compliant with HL7 v2, FHIR R4, HIPAA, and GDPR across multi-cloud environments (AWS, Azure, GCP). Designed and scaled high-throughput RESTful and event-driven APIs processing 45M+ clinical messages per day, reducing data latency by 38.6%. Built secure interoperability layers integrating EHR systems, HL7 interfaces, FHIR APIs, and legacy platforms (IBM i / RPG / DB2), improving downstream system consistency by 31.2% while maintaining full auditability. Architected revenue-cycle, eligibility, and claims automation services handling 18M+ claims per month, reducing payer rejections by 19.4%. Implemented event-driven care coordination and alerting triggering 250K+ daily patient events, improving clinician response times by 34.8%. Deployed cloud-native microservices using Docker, Kubernetes (AKS), AWS ECS, Op

Full Stack Developer at Capital One

April 1, 2014 - May 1, 2018

Led design and evolution of high-throughput card and account transaction platforms using Java 8, Spring Boot, REST APIs, and distributed caching, supporting 60K+ TPS with p99 latency under 120 ms across critical payment flows. Architected event-driven transaction and fraud-signal pipelines using Apache Kafka and Spring Cloud, processing 8–10M transactions/hour and improving downstream fraud signal delivery time by 29.6%. Built scalable customer profile and personalization services with Spring MVC, PostgreSQL, Oracle, and in-memory caching, serving 25M+ active customer records and reducing profile lookup latency by 41.2%. Integrated third-party payment and financial APIs with PCI-compliant transaction processing across web and mobile channels. Optimized SQL performance, indexing strategies, and Spring Data JPA queries, improving throughput by 25% during peak periods while maintaining high availability with replication and failover. Implemented real-time fraud analytics enabling faster

Software Developer at YCharts

July 1, 2012 - February 1, 2014

Engineered large-scale financial data ingestion and normalization services processing 10,000+ indicators across equities, ETFs, and mutual funds; improved data refresh frequency by ~42% and reduced reconciliation errors by ~34%. Designed and implemented portfolio analytics and performance engines supporting 50K+ advisor portfolios; executed millions of calculations per day and reduced report generation time by ~47% while improving data accuracy. Built RESTful APIs and backend workflows powering real-time portfolio views, historical comparisons, and advisor reporting; enabled seamless integration between data pipelines, analytics services, and web-based dashboards. Optimized performance via query tuning, caching, and backend refactoring to sustain high concurrency.