Senior Java Full-Stack Developer with 6+ Years Experience

Venkata Kalaiahgari Java Full Stack Developer

CT, USA +1-845-***-**** ******************@*****.*** LinkedIn Portfolio

PROFESSIONAL SUMMARY:

Senior Java Full-Stack Developer with 6+ years of experience building and stabilizing high-scale backend platforms across fintech, telecom, and enterprise SaaS. Trusted with production systems processing 250K–1M+ transactions per day, including on-call incident response and high-risk releases. Reduced API P95 latency by 40%, prevented peak-hour outages through asynchronous Kafka pipelines, and cut deployment cycles by 70% via CI/CD automation. Strong focus on reliability, performance, and scalability using Java 17, Spring Boot, Kafka, AWS, and Angular.

TECHNICAL SKILLS:

Languages & Scripting: Java 17+, JavaScript (ES6), TypeScript, SQL, PL/SQL, Shell Script.

Distributed Systems & Backends: Spring Boot, Microservices, Kafka, REST APIs, Event-driven architecture, Caching, Concurrency.

Frontend: Angular, React, Responsive UI design, API-driven frontend architecture, State management.

Cloud & Infrastructure: AWS (Lambda, DynamoDB, API Gateway, ECS, S3, IAM, SQS), Docker, Kubernetes.

Databases: Oracle, MySQL, PostgreSQL, MongoDB.

DevOps, Security & Testing: Jenkins, GitLab CI, OAuth2, JWT, JUnit, Postman, JMeter, Grafana, Prometheus, ELK Stack.

PROFESSIONAL EXPERIENCE:

Inswitch- Domain: Banking & Financial Services Florida, USA

Java Full Stack Developer(Java & Angular ) Jan 2025 – Present

Handled on-call production incidents for a digital wallet platform processing 250K+ financial transactions/day, including payment failures and account service outages.

Prevented cascading payment outages during peak traffic by migrating synchronous transaction flows to Kafka-based asynchronous pipelines.

Reduced P95 API latency by 40%, decreasing timeout-related incidents and improving payment success rates during peak load.

Reduced user-facing payment workflow errors by 20% by stabilizing Angular dashboards used by 10K+ daily users and optimizing API payloads and client-side state handling.

Shortened deployment cycles by 70% by restructuring CI/CD pipelines with GitHub Actions and Argo CD and introducing automated rollback for failed releases.

Reduced unauthorized access risk and audit findings by enforcing OAuth2/JWT-based authentication and RBAC across payment and account services, passing internal security reviews without critical issues.

Verizon – Domain: Telecommunications India

Software Engineer Oct 2022 – Aug 2023

Reduced telemetry processing delays by developing Java and Kafka services supporting near-real-time analytics for 15K+ network devices.

Stabilized Kafka-based telemetry ingestion by applying retry, backoff, and DLQ strategies to isolate downstream failures without impacting upstream producers.

Improved system throughput by 30% by tuning JVM heap allocation and optimizing Oracle queries to reduce GC pauses and query contention during peak traffic.

Reduced incident detection and diagnosis time by 60% by instrumenting services with ELK Stack and Grafana, enabling faster response to production alerts.

Improved release stability by deploying services on Kubernetes with readiness probes and automated rollback to minimize customer impact during failed deployments.

CSC Global - Domain: Legal / Corporate Services India

Full Stack Software Engineer (Java & Angular) Feb 2022 – Sep 2022

Improved reliability and usability of contract management workflows by stabilizing Angular–Spring Boot integrations, reducing client-reported defects by 20%.

Automated document execution and synchronization by integrating DocuSign and SharePoint APIs, reducing manual processing effort by 45% and accelerating contract turnaround.

Standard Chartered Bank- Domain: Banking & Financial Services India

Assistant System Engineer Jul 2019 – Nov 2021

Acted as L3 on-call engineer for production payment flows processing 1M+ daily transactions, leading SEV-1 and SEV-2 incident recovery where outages directly impacted settlement accuracy and customer balances.

Reduced batch failure detection time by 40% by introducing Kafka-based monitoring and real-time alerts, supporting PCI compliance and audit readiness for regulated banking systems.

EDUCATION:

Master of Science in Computer Science and Information Technology Sacred Heart University – Fairfield, CT, USA – Dec 2024.

Bachelor of Technology in Electrical and Electronics Engineering Lovely Professional University – Phagwara, Punjab, India – May 2019.

Contact this candidate