Event Ingest Platform
Kafka Β· Spring Boot Β· Postgres
High-availability pipeline for ingesting and processing millions of events per day with schema evolution and replay support.
Backend Developer β building reliable APIs, scalable services & data pipelines.
I design and implement robust server-side systems using Java / Spring Boot, Node.js, and SQL/NoSQL databases. I focus on clean architecture, observability, and predictable performance at scale.
Core backend & adjacent skills
Led design of a high-throughput event ingestion pipeline (Kafka) and implemented microservices in Spring Boot. Improved end-to-end latency and reduced failure rate using canary deployments and better observability.
Built RESTful APIs, migrated monolith to services, and modelled relational schemas for analytics workloads. Introduced automated testing and codified infra as CI pipelines.
Worked on backend features, database performance tuning, and real-time messaging integrations for customer-facing products.
Kafka Β· Spring Boot Β· Postgres
High-availability pipeline for ingesting and processing millions of events per day with schema evolution and replay support.
Node.js Β· Serverless Β· MongoDB
Serverless microservice that normalises vendor invoices and triggers downstream accounting workflows.
Go Β· Prometheus Β· Docker
Lightweight exporter for internal metrics and auto-scaling signals used across internal services.
Email, GitHub, LinkedIn