Building high-throughput distributed systems at Mastercard — processing millions of transactions with Spring Boot, Angular, React, Kafka, and AWS.
I'm a Java Full Stack Developer with 5 years of experience designing and building production-grade distributed systems in the fintech space. At Mastercard, I work on the Smart Data Platform — an event-driven analytics engine that processes 2M+ transactions daily using Spring Boot microservices, Apache Kafka, and AWS infrastructure.
I specialize in building systems that are fast, fault-tolerant, and scalable. My work spans the full stack — from designing RESTful APIs and Kafka consumers on the backend to building responsive dashboards with Angular and React on the frontend.
What drives me: Turning complex business requirements into clean, testable, production-ready code that handles real-world scale.
Backend
Frontend
Cloud & DevOps
Databases & Messaging
Tools & Practices
🔭 Currently building event-driven microservices at Mastercard on the Smart Data Platform
🛠️ Shipping production systems that handle 2M+ daily transactions with sub-200ms latency
🌱 Deepening my expertise in system design, distributed tracing, and cloud-native architectures
💡 Building open-source projects to demonstrate real-world fintech engineering patterns
| Area | Impact |
|---|---|
| Performance | Reduced API response times by 40% through Redis caching layer and query optimization across 12 microservices |
| Scalability | Architected Kafka-based event pipeline processing 2M+ transactions/day with 99.97% uptime |
| Migration | Led migration of 3 monolithic services to Spring Boot microservices, reducing deployment time from 4 hours to 15 minutes |
| Reliability | Implemented circuit breaker patterns (Resilience4j) reducing cascading failures by 65% |
| CI/CD | Built Jenkins pipelines with automated testing, achieving 85%+ code coverage across all services |
| Cost | Optimized AWS infrastructure (EC2, RDS, S3) saving $18K/year through right-sizing and auto-scaling |
🏦 TransactIQ — AI-Powered Transaction Intelligence
Spring Boot + React + Claude AI + PostgreSQL + Docker
Turn raw bank transactions into natural-language spending intelligence. Features interactive dashboards with weekly spend trends, AI-generated spending recommendations, and smart merchant categorization. Containerized with Docker Compose and deployed on AWS.
Highlights: REST APIs, JWT auth, CSV import pipeline, Recharts visualizations, GitHub Actions CI/CD
I'm actively building and open-sourcing projects that demonstrate production-grade engineering. Check back for new repos covering event-driven architecture, CQRS, and cloud-native microservices.
☁️ AWS Certified — Cloud Practitioner / Solutions Architect (update with your actual cert)
I'm open to opportunities in Java Full Stack Development, Backend Engineering, and Platform/Infrastructure roles — especially in fintech, payments, and banking.
📧 Email: manojchandrabittu@gmail.com 💼 LinkedIn: linkedin.com/in/manoj1707 🌐 GitHub: github.com/ManojBarkam17
"Good code is its own best documentation." — Steve McConnell