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Hi, this is Siva D — Senior Software Engineer specializing in Java, Spring Boot, Microservices, React, and Cloud-Native Engineering.

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System Strengths

Resume Highlights & Metrics

A high-level dashboard displaying Siva's fundamental capabilities, engineering standards, and career highlights.

Engineering Depth

Around 8 years of software engineering experience in banking, healthcare, IoT, and cloud modernization.

8 Years

Scale Ingestion

Delivered scalable production platforms for 5 major enterprise client and project environments.

5 Projects

Credit Union of Atlanta

Optimized complex PostgreSQL schemas and improved core query performance by 35%.

35% Boost

Downtime Mitigation

Used Prometheus and Grafana at Credit Union of Atlanta to reduce overall system downtime by 40%.

40% Cut

Centene Accessibility

Built React and care-insights portals that improved data accessibility by 30% for high-risk care coordination.

30% Gain

API Latency Reduction

Optimized multi-tenant Spring Boot APIs at Centene, reducing service response latency by 25%.

25% Faster

Fintech Cost Reduction

Used Azure serverless patterns at HDFC Bank to reduce overall operational hosting cost by 40%.

40% Save

Enterprise TDD Stack

Maintained robust JUnit and Mockito unit test suites with an 85% code coverage standard.

85% Coverage
Technical Inventory

Core Technologies & Stack

A granular map of Siva's primary software engineering languages, frameworks, cloud tooling, and domain specialties.

Frontend

React.js
Angular
Vue.js
JavaScript
TypeScript
HTML5
CSS3
Sass
Bootstrap
AJAX
jQuery
RxJS

Backend

Java
Scala
Spring Boot
Spring MVC
Spring Security
Hibernate
Node.js
Express.js
Django
Flask
PHP
Laravel

APIs and Security

REST APIs
GraphQL
SOAP
FHIR
OAuth 2.0
JWT
API Gateway
Multi-Factor Authentication
JSON
Swagger
JAX-RS

Microservices and Messaging

Spring Boot Microservices
Kafka
Kafka Streams
RabbitMQ
ActiveMQ
event-driven architecture

Databases

PostgreSQL
MySQL
Oracle
DB2
MongoDB
DynamoDB
Cassandra
SQLite
PL/SQL

Cloud and DevOps

AWS EC2
S3
Lambda
RDS
DynamoDB
IAM
CloudWatch
Azure AKS
Azure Functions
Azure SQL
Blob Storage
Key Vault
GCP
GKE
Docker
Kubernetes
Terraform
CloudFormation
Helm

CI/CD and Version Control

Jenkins
GitHub Actions
Git
GitLab
Bitbucket
Maven
CI/CD pipelines

Testing and Monitoring

JUnit
Mockito
Jest
Cypress
Postman
Cucumber
Prometheus
Grafana
ELK Stack
Splunk
SonarQube
OWASP

Agile

Scrum
Kanban
SAFe
Jira
Confluence
sprint planning
demos
retrospectives
documentation
System Portfolios

Core Engineering Projects

A deep dive into high-compliance, high-scale systems Siva has designed, developed, and deployed to production.

01

Core Transformation & Cloud Modernization

Sr. Software Engineer
Credit Union of AtlantaBanking / Credit Union Modernization

A mission-critical banking modernization initiative migrating legacy monolithic Java systems into cloud-native microservices using Spring Boot, Docker, Kubernetes, AWS, and Azure.

Implemented event-driven Kafka pipelines, serverless functions, database migration from Oracle to PostgreSQL/DynamoDB, Infrastructure as Code with Terraform and Helm, and GitHub Actions/Jenkins CI/CD.

Technical Challenge

Migrating legacy monolithic banking services into secure, scalable cloud-native microservices while maintaining reliability and compliance.

Engineering Outcome

Built Spring Boot APIs, Angular interfaces, Kafka pipelines, AWS/Azure deployments, and CI/CD automation that improved scalability, deployment reliability, observability (downtime cut by 40%), and operational readiness.

Recruiter-Friendly Impact Summary

Built Spring Boot APIs, Angular interfaces, Kafka pipelines, AWS/Azure deployments, and CI/CD automation that improved scalability, deployment reliability, observability (downtime cut by 40%), and operational readiness.

Stack Integration
JavaSpring BootAngularAWS EKSAzureKubernetesPostgreSQLKafkaJenkinsPrometheusGrafanaDocker
02

Intelligent Health Data Exchange & Care-Insights Platform

Sr. Software Engineer
Centene CorporationHealthcare Data Interchange & Analytics

A healthcare data exchange and care insights platform integrating EHR, lab, wearable, and claims systems and delivering real-time analytics through a React portal.

Designed PostgreSQL and MongoDB schemas for 5TB+ health and claims data, increasing query performance by 40%. Implemented OAuth2 and OpenID Connect with Okta for HIPAA/SOC2 compliance, achieving 85% JUnit test coverage.

Technical Challenge

Integrating highly heterogeneous EHR, lab, and claims databases under HIPAA and SOC2 compliance rules while minimizing API lookup latency.

Engineering Outcome

Engineered Spring Boot REST APIs, FHIR/HL7 integration nodes, React portal components, Okta OAuth2 authentication, and automated Terraform/CloudFormation templates that cut API latency by 25%, boosted accessibility by 30%, and slashed manual deployment errors by 80%.

Recruiter-Friendly Impact Summary

Engineered Spring Boot REST APIs, FHIR/HL7 integration nodes, React portal components, Okta OAuth2 authentication, and automated Terraform/CloudFormation templates that cut API latency by 25%, boosted accessibility by 30%, and slashed manual deployment errors by 80%.

Stack Integration
JavaSpring BootFHIR R4/R5HL7ReactOkta OAuth2AWS EKSPostgreSQLMongoDBJenkinsPrometheusGrafanaTerraform
03

Deep Zoom CAD Visualization & Fleet Insights Platform

Senior Software Engineer
ConmetIndustrial IoT & Web-based CAD Visualization

A microservices platform supporting high-fidelity 3D CAD visualization using WebGL/Three.js and real-time fleet telematics analytics using Kafka Streams.

Designed MongoDB and Cassandra models for CAD file hierarchies and fleet time-series data. Integrated Kafka event streams for real-time fleet telemetry, secured with OAuth2/JWT and MFA. Created Node.js/Express geofencing services.

Technical Challenge

Rendering complex high-fidelity 3D CAD visualization models in browser frames while processing high-throughput real-time telematics from fleet IoT streams.

Engineering Outcome

Pioneered WebGL/Three.js React modules, Spring Boot 3 microservices, Kafka event streams, Redis cache filters, and Cassandra/MongoDB time-series layers that automated ETL ingestion and geofencing triggers on AWS EKS.

Recruiter-Friendly Impact Summary

Pioneered WebGL/Three.js React modules, Spring Boot 3 microservices, Kafka event streams, Redis cache filters, and Cassandra/MongoDB time-series layers that automated ETL ingestion and geofencing triggers on AWS EKS.

Stack Integration
ReactTypeScriptWebGLThree.jsSpring BootKafka StreamsNode.jsExpress.jsCassandraMongoDBAWS EKSRedisSplunkGitHub Actions
04

Real-Time Transaction Fraud Monitoring Platform

Software Engineer
HDFC BankFintech & Transaction Risk Management

A mission-critical real-time fraud monitoring platform using Java, Spring Boot microservices, Kafka Streams, React dashboards, Azure Kubernetes Service, Redis, Cassandra, Oracle, and MongoDB.

Built React 18 dashboards for real-time fraud monitoring using WebSocket and Server-Sent Events. Secured systems with OAuth2, JWT, MFA, and PCI DSS-aligned controls. Managed Oracle on Azure and MongoDB/Cosmos-style logging.

Technical Challenge

Executing sub-50ms rule-based and ML threat evaluation on live electronic payments without adding operational latency overhead.

Engineering Outcome

Created React 18 transaction dashboards, Kafka Streams risk handlers, Spring Boot 3 microservices, Azure AKS orchestrations, and Azure serverless functions that mitigated millions in fraud and reduced operational costs by 40% while improving scalability by 60%.

Recruiter-Friendly Impact Summary

Created React 18 transaction dashboards, Kafka Streams risk handlers, Spring Boot 3 microservices, Azure AKS orchestrations, and Azure serverless functions that mitigated millions in fraud and reduced operational costs by 40% while improving scalability by 60%.

Stack Integration
Java 11Spring BootKafka StreamsReactAzure AKSAzure FunctionsAPI ManagementRedisCassandraOracleMongoDBJenkins
05

Clinical Intelligence Engine & Connected Care Platform

Associate Software Engineer
Apollo Hospitals Enterprise LimitedConnected Patient Care & Observability

A high-availability healthcare platform that ingested real-time patient vitals and EHR data to produce clinician alerts and connected-care insights.

Designed Spring Boot REST APIs for patient data retrieval and updates. Modeled Cassandra keyspaces for time-series vitals data. Implemented Spring Security RBAC/ABAC to protect PHI under HIPAA regulations.

Technical Challenge

Ingesting massive real-time patient vitals streams to trigger instant alert telemetry with strict patient data privacy.

Engineering Outcome

Developed Spring Boot APIs, clinical clinician-facing React tools, Epic FHIR endpoints, and Kafka vitals streams hosted on GCP GKE with robust audit logging and Prometheus monitoring.

Recruiter-Friendly Impact Summary

Developed Spring Boot APIs, clinical clinician-facing React tools, Epic FHIR endpoints, and Kafka vitals streams hosted on GCP GKE with robust audit logging and Prometheus monitoring.

Stack Integration
ReactSpring BootEpic FHIRGCP GKECassandraRedisKafka StreamsSpring SecurityPrometheusGrafanaSwagger
Direct Dispatch

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