Senior Java Microservices Architect

BONTHA M

Dallas, TX 682-***-**** ***********@*******.***

PROFESSIONAL SUMMARY

● Lead Architect for enterprise-scale Java environments focusing on transition from monolithic J2EE architectures to resilient, decoupled Microservices that handle 10k+ concurrent requests.

● Drive continuous integration strategy by implementing Jenkins pipelines and GitOps workflows that reduce production deployment cycles from weeks to minutes while maintaining 99.9% uptime.

● Minimize technical debt through aggressive refactoring of legacy Java codebases into modular components, ensuring high maintainability and test coverage across distributed systems.

● Design and implement high-throughput REST/SOAP APIs that facilitate seamless data exchange between Azure cloud infrastructure and on-premise legacy data stores.

● Maximize system availability by engineering self-healing infrastructure on AWS and Azure, utilizing container orchestration to eliminate single points of failure in the application tier.

● Direct the integration of complex Python-based automation scripts for real-time infrastructure provisioning, reducing manual intervention by 85% across multi-cloud environments.

● Primary Engineer on high-concurrency data pipelines using SQL and XSLT for complex XML transformations, ensuring data integrity across large-scale enterprise integration projects.

● Architect of security-first CI/CD frameworks that incorporate automated vulnerability scanning and compliance checks into the build process without throttling developer velocity.

● Navigate the tradeoff between latency and consistency in distributed Microservices by implementing advanced caching strategies and asynchronous messaging patterns.

● Govern technical standards for Java development teams, establishing best practices for dependency management, logging, and error handling in high-stakes production environments. TECHNICAL SKILLS

Programming Languages: Java, J2EE, Python, SQL

Frameworks & Architecture: Microservices, Spring Boot, REST/SOAP APIs, XML/XSLT Cloud Platforms: AWS, Azure

CI/CD & DevOps: Jenkins, GitOps, Docker, Terraform, Maven Databases & Storage: SQL Server, PostgreSQL, Redis Tools & Methodologies: SonarQube, Log4j2, Enterprise Integration, Data Engineering CERTIFICATIONS

● AWS Certified Solutions Architect – Professional

● Azure AI Engineer – Associate

PROFESSIONAL EXPERIENCE

BCBS Global Solutions Jan 2025 - Present

Senior Consultant Dallas, TX

● Lead technical strategy for transitioning core healthcare insurance platforms to a modern Java-based Microservices architecture to support 5M+ active policyholders globally.

● Govern enterprise standards for J2EE application security, implementing OAuth2 and OpenID Connect protocols to safeguard sensitive patient data across all cloud endpoints.

● Architect of a high-availability CI/CD ecosystem on Azure, utilizing Terraform for infrastructure as code to ensure 100% environment parity across dev and prod.

● Direct cross-functional teams in the migration of legacy mainframe data to SQL-based cloud warehouses, reducing query latency by 60% for real-time analytics dashboards.

● Scale systems to handle seasonal enrollment spikes of 400% through the implementation of horizontal pod autoscaling and proactive load balancing within Azure environments.

● Refactor core components to eliminate memory leaks in high-volume Java processing engines, resulting in a 40% reduction in cloud compute costs annually.

● Build and scale distributed logging frameworks using Log4j2 and centralized monitoring tools to provide 360- degree visibility into microservices health and performance.

● Design and implement robust REST APIs that integrate third-party healthcare providers with internal claims systems, processing 1M+ transactions daily with sub-second latency.

● Minimize cold start latency in serverless Java functions by optimizing package size and utilizing provisioned concurrency for critical health plan lookup services.

● Automate workflows for environment setup using Python, cutting the time to provision developer sandboxes from three days to under fifteen minutes.

● Primary Engineer on the disaster recovery initiative, establishing a multi-region AWS failover strategy that guarantees a Recovery Time Objective of under 15 minutes.

● Mentor junior engineers on advanced Java concurrency patterns and memory management to foster a culture of high-performance coding and architectural excellence.

● Deploy resilient infrastructure to support high-stakes HIPAA compliance audits, ensuring all data encryption at rest and in transit meets stringent federal mandates.

● Integrate complex systems using XML/XSLT for standardized messaging between disparate internal divisions, ensuring data consistency across the entire enterprise service bus.

● Eliminate architectural bottlenecks that throttled throughput by migrating from synchronous service calls to an event-driven model using message queues and Java consumers.

● Drive performance gains of 35% in data ingestion pipelines by optimizing SQL procedures and implementing efficient batch processing logic for large medical records.

● Identify a critical failure point in the legacy authentication module and re-engineer the system to utilize a stateless, token-based architecture for better scalability.

● Navigate the tradeoff between development speed and system stability by implementing feature flags and canary deployments to mitigate the risk of new releases.

● Maximize throughput through the implementation of non-blocking I/O operations in the Java application tier, significantly improving the user experience for web portals.

● Achieve a 99.99% system uptime record by implementing rigorous automated testing and health checks within the continuous integration pipeline for all core services. Coca-Cola Aug 2024 - Jan 2025

Consultant Atlanta, GA

● Scale systems to support a global supply chain management tool built on Java and Microservices, ensuring localized performance across 100+ international markets.

● Design and implement an automated release management system that coordinates deployments across multiple J2EE applications, reducing manual errors by 90%.

● Build and scale high-performance SQL databases to manage real-time inventory tracking, ensuring data synchronization between bottling plants and distribution centers.

● Refactor core components of the pricing engine to handle complex international taxation logic, utilizing Java design patterns to maintain code cleanliness and extensibility.

● Minimize latency by optimizing the communication between Microservices using high-efficiency protocols and payload compression for global API responses.

● Direct technical strategy for the adoption of containerized workloads, migrating legacy Java apps to Docker to improve portability and resource utilization.

● Automate workflows for database schema migrations using Python scripts, ensuring zero-downtime updates for production SQL instances across diverse geographic regions.

● Lead technical strategy for enterprise-wide API governance, defining standard documentation and versioning policies for all Java-based web services.

● Maximize throughput of the order processing system by identifying and resolving thread contention issues in the Java concurrency model during peak sales periods.

● Deploy resilient infrastructure on AWS to support global marketing campaigns, utilizing auto-scaling groups to manage sudden bursts in web traffic effectively.

● Primary Engineer on the integration of third-party logistics providers via REST and SOAP interfaces, enabling real-time shipping updates for retail customers.

● Eliminate architectural bottlenecks in the middleware layer by replacing legacy EJB components with lightweight, performant Spring-based microservices.

● Drive performance gains of 25% by implementing a distributed caching layer that reduces redundant SQL queries for frequently accessed product metadata.

● Integrate complex systems across the enterprise by developing custom XSLT templates for data mapping between diverse SAP and legacy Java platforms.

● Achieve a 50% reduction in deployment-related outages by implementing automated rollback procedures and comprehensive integration testing in the Jenkins pipeline.

● Identify a critical failure point in the global session management and re-architect the system to use a centralized, persistent store for session data.

● Navigate the tradeoff between system complexity and operational visibility by implementing distributed tracing across the entire Microservices ecosystem.

● Govern enterprise standards for code quality by integrating SonarQube into the build process, ensuring all Java code meets high security and performance bars.

● Mentor junior engineers on the principles of 12-factor app development, ensuring all new Java services are built for modern cloud environments.

● Refactor core components of the reporting engine to utilize asynchronous processing, allowing users to generate complex global sales reports without timing out.

Kaiser Permanente Apr 2023 - Aug 2024

Consultant Oakland, CA

● Design and implement secure Java-based portals for patient record access, adhering to strict healthcare compliance standards and data privacy regulations.

● Refactor core components of the appointment scheduling system to support Microservices, improving fault tolerance and allowing for independent service scaling.

● Automate workflows for the migration of on-premise J2EE applications to AWS, utilizing migration tools to ensure data consistency and minimal downtime.

● Minimize latency by optimizing Java heap settings and garbage collection parameters for high-memory clinical applications processing large diagnostic datasets.

● Lead technical strategy for the implementation of a centralized identity management system, integrating Java apps with LDAP and Active Directory services.

● Build and scale data pipelines using Python and SQL to extract and transform patient data for population health management initiatives and clinical research.

● Maximize throughput for the pharmacy management system by re-engineering the database interaction layer to utilize connection pooling and prepared statements.

● Deploy resilient infrastructure that supports high-availability clusters for critical patient care systems, ensuring constant access for medical professionals.

● Eliminate architectural bottlenecks in the billing system by introducing an asynchronous message queue to handle high volumes of transaction processing.

● Integrate complex systems for lab results delivery using XML standards, ensuring accurate and timely data flow between external labs and internal records.

● Primary Engineer on the development of a suite of REST services that power the mobile patient app, focusing on security and low-bandwidth performance.

● Achieve a 40% improvement in build speeds by optimizing the Maven configuration and modularizing the monolith into smaller, independent libraries.

● Govern enterprise standards for logging and auditing, ensuring every access to patient data is recorded and verifiable for federal compliance purposes.

● Drive performance gains of 20% in the search engine for medical documentation by implementing optimized indexing strategies in the back-end SQL database.

● Identify a critical failure point in the legacy notification system and rebuild it using a scalable, cloud-native Java architecture to support 1M+ alerts daily.

NRG Aug 2021 - Jul 2022

Analyst Houston, TX

● Design and implement data collection scripts in Python to monitor energy consumption patterns across a diverse portfolio of residential and commercial smart meters.

● Refactor core components of the billing calculation engine in Java, improving accuracy and reducing processing time for monthly energy invoices.

● Maximize throughput of the peak-demand forecasting model by optimizing the SQL queries used to ingest historical weather and usage data.

● Automate workflows for recurring data reports, utilizing SQL and shell scripting to provide stakeholders with daily insights into energy market trends.

● Minimize latency in the customer web portal by optimizing front-end assets and streamlining the REST API responses from the Java backend.

● Build and scale a lightweight monitoring tool that tracks the health of energy grid sensors, providing real-time alerts to the operations center.

● Deploy resilient infrastructure on Azure to host internal analysis tools, ensuring high availability for data scientists and market analysts.

● Integrate complex systems by developing data bridges between legacy billing software and modern cloud-based CRM platforms using XML and Java.

● Drive performance gains of 15% in the customer account management tool by implementing efficient server-side caching and reducing database round-trips.

● Primary Engineer on the feature engineering for a customer churn prediction model, utilizing SQL to aggregate behavioral data from multiple sources.

● Identify a critical failure point in the data ingestion pipeline and implement robust error handling and retry logic to prevent data loss.

● Achieve a 30% reduction in manual data entry tasks by developing an automated ingestion system for utility partner data using Python and REST APIs.

● Navigate the tradeoff between real-time data accuracy and system load by implementing a tiered data processing strategy for smart meter updates.

● Lead technical strategy for the decommissioning of legacy servers by migrating essential business logic to a centralized Java application framework.

● Eliminate architectural bottlenecks in the internal reporting tool by refactoring complex nested queries into optimized stored procedures and temporary tables.

Aditya Birla May 2018 - Jul 2021

Analyst Mumbai, India

● Build and scale the foundation of a digital supply chain platform using Java and J2EE, supporting logistics across a multinational manufacturing footprint.

● Refactor core components of the inventory management system to reduce database deadlocks and improve transaction reliability during high-volume periods.

● Design and implement REST APIs for a new distributor portal, allowing real-time order placement and tracking for external business partners.

● Automate workflows for code testing and deployment using early-stage CI/CD tools, improving the release frequency from monthly to bi-weekly.

● Maximize throughput of data export jobs by utilizing multi-threading in Java and optimizing the underlying SQL export queries.

● Minimize latency in the internal warehouse management app by streamlining the XML data payloads and optimizing wireless network communication.

● Deploy resilient infrastructure for dev and test environments on local servers, utilizing virtualization to maximize hardware resource usage.

● Integrate complex systems across different manufacturing units by developing a standardized SOAP messaging layer for financial data exchange.

● Drive performance gains of 20% in the procurement system by implementing a streamlined approval workflow and optimizing the Java business logic.

● Identify a critical failure point in the nightly data backup process and re-engineer the script to include validation checks and automated status reports.

EDUCATION

University of Texas at Arlington Aug 2024

MS Computer Science Arlington, TX

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