Bhaskar Dasari

Architected and delivered 50+ cloud-native microservices using Java (8–21), Spring Boot, AWS ECS/RDS, and Kafka-based event-driven architecture, supporting 500K+ daily banking transactions with 99.9% availability.
Led monolithic-to-microservices transformation initiatives, enabling scalable, resilient, and independently deployable enterprise banking platforms.
Directed architecture governance through ARC, ARD, ADR, HLD, and LLD processes to standardize security, API, and cloud-native engineering practices across distributed systems.
Implemented AI-assisted SDLC practices using GitHub Copilot, Claude AI, and GenAI-based automation to improve developer productivity and delivery efficiency.
Designed scalable distributed systems using Kafka, Redis, gRPC, Istio Service Mesh, and asynchronous communication patterns to improve resiliency, observability, and platform performance.
Established enterprise observability using Prometheus, Grafana, Kibana, and AppDynamics, reducing incident resolution time by 40% and improving operational monitoring.
Collaborated with DevSecOps, SRE, Security, QA, and Platform Engineering teams to ensure secure production releases, compliance governance, and high platform reliability.
Led cross-functional engineering teams, mentored senior engineers, and drove agile delivery, CI/CD modernization, and engineering best practices across enterprise banking applications.

Architected and delivered 50+ cloud-native microservices using Java (8–21), Spring Boot, AWS ECS/RDS, and Kafka-based event-driven architecture, supporting 500K+ daily banking transactions with 99.9% availability., Led monolithic-to-microservices transformation initiatives, enabling scalable, resilient, and independently deployable enterprise banking platforms., Directed architecture governance through ARC, ARD, ADR, HLD, and LLD processes to standardize security, API, and cloud-native engineering practices across distributed systems., Implemented AI-assisted SDLC practices using GitHub Copilot, Claude AI, and GenAI-based automation to improve developer productivity and delivery efficiency., Designed scalable distributed systems using Kafka, Redis, gRPC, Istio Service Mesh, and asynchronous communication patterns to improve resiliency, observability, and platform performance., Established enterprise observability using Prometheus, Grafana, Kibana, and AppDynamics, reducing incident resolution time by 40% and improving operational monitoring., Collaborated with DevSecOps, SRE, Security, QA, and Platform Engineering teams to ensure secure production releases, compliance governance, and high platform reliability., Led cross-functional engineering teams, mentored senior engineers, and drove agile delivery, CI/CD modernization, and engineering best practices across enterprise banking applications.

Led the strategic architectural migration of legacy platforms to AWS microservices, achieving a 50% reduction in infrastructure costs and establishing high-performance engineering best practices.
Architected a real-time data processing engine using Amazon SNS and Kafka Streams to handle high-volume event streams, improving data freshness by 60%.
Defined HLD/LLD for high-throughput data pipelines using S3, Lambda, and DynamoDB for real-time processing, ensuring 99.9% availability for mission-critical applications.
Directed global engineering teams of 20+ members and mentored technical leads, increasing sprint velocity by 35% through architectural guidance and coaching.
Created scalable REST API architectures using Spring Boot and Swagger, reducing response times by 40% while ensuring adherence to security compliance and coding standards.
Managed CI/CD automation using Jenkins and GitLab CI, alongside database tuning on AWS RDS to enhance deployment consistency, query speed, and overall system scalability.
Spearheaded the design and implementation of a resilient multi-region disaster recovery architecture on AWS, ensuring zero data loss and 99.99% system availability for core financial services.

Led the strategic architectural migration of legacy platforms to AWS microservices, achieving a 50% reduction in infrastructure costs and establishing high-performance engineering best practices., Architected a real-time data processing engine using Amazon SNS and Kafka Streams to handle high-volume event streams, improving data freshness by 60%., Defined HLD/LLD for high-throughput data pipelines using S3, Lambda, and DynamoDB for real-time processing, ensuring 99.9% availability for mission-critical applications., Directed global engineering teams of 20+ members and mentored technical leads, increasing sprint velocity by 35% through architectural guidance and coaching., Created scalable REST API architectures using Spring Boot and Swagger, reducing response times by 40% while ensuring adherence to security compliance and coding standards., Managed CI/CD automation using Jenkins and GitLab CI, alongside database tuning on AWS RDS to enhance deployment consistency, query speed, and overall system scalability., Spearheaded the design and implementation of a resilient multi-region disaster recovery architecture on AWS, ensuring zero data loss and 99.99% system availability for core financial services.

Developed enterprise factory monitoring systems using Spring Boot and RabbitMQ, improving operational visibility and system reliability.
Containerized applications using Docker and Kubernetes, enabling zero-downtime deployments and improved scalability.
Collaborated with QA and DevOps teams to implement CI/CD and test automation frameworks, increasing deployment frequency by 30%.
Improved production performance by profiling JVM services and resolving critical bottlenecks, significantly enhancing response efficiency.
Drove cross-functional collaboration using Jira and Confluence, reducing overall project delivery timelines by 25%.
Developed and integrated a cloud-native microservices architecture on AWS over 18 months, leveraging Amazon Elastic Kubernetes Service (EKS) and AWS CodePipeline. Reduced infrastructure provisioning time by 40% and achieved 99.99% system availability for enterprise-scale production deployments.

Developed enterprise factory monitoring systems using Spring Boot and RabbitMQ, improving operational visibility and system reliability., Containerized applications using Docker and Kubernetes, enabling zero-downtime deployments and improved scalability., Collaborated with QA and DevOps teams to implement CI/CD and test automation frameworks, increasing deployment frequency by 30%., Improved production performance by profiling JVM services and resolving critical bottlenecks, significantly enhancing response efficiency., Drove cross-functional collaboration using Jira and Confluence, reducing overall project delivery timelines by 25%., Developed and integrated a cloud-native microservices architecture on AWS over 18 months, leveraging Amazon Elastic Kubernetes Service (EKS) and AWS CodePipeline. Reduced infrastructure provisioning time by 40% and achieved 99.99% system availability for enterprise-scale production deployments.

Built secure healthcare portals using Java and Spring MVC, with integrated JWT-based authentication.
Enhanced data processing speed by 30% through performance tuning and multithreading.
Conducted code reviews and mentored junior developers to maintain high code quality standards.
Implemented new features in Java 11, optimizing module support and garbage collection to reduce system downtime by 20%.

Built secure healthcare portals using Java and Spring MVC, with integrated JWT-based authentication., Enhanced data processing speed by 30% through performance tuning and multithreading., Conducted code reviews and mentored junior developers to maintain high code quality standards., Implemented new features in Java 11, optimizing module support and garbage collection to reduce system downtime by 20%.

Developed and maintained enterprise-grade web applications for finance and healthcare, supporting 100K+ concurrent users and improving system uptime by 15%.
Participated in architectural planning and implementation of scalable systems, contributing to a 20% improvement in system load capacity.
Developed RESTful APIs using Spring MVC, reducing data integration errors by 15% across 4 core modules.
Implemented secure communication using SSL/TLS and Spring Security, ensuring 100% compliance with internal security audits.

Developed and maintained enterprise-grade web applications for finance and healthcare, supporting 100K+ concurrent users and improving system uptime by 15%., Participated in architectural planning and implementation of scalable systems, contributing to a 20% improvement in system load capacity., Developed RESTful APIs using Spring MVC, reducing data integration errors by 15% across 4 core modules., Implemented secure communication using SSL/TLS and Spring Security, ensuring 100% compliance with internal security audits.