R D

I am a Data Engineer with deep hands-on experience designing and operating real-time analytics platforms at scale, specializing in streaming data. My work focuses on building highly available, low-latency data systems that power operational dashboards, monitoring, and decision-making across healthcare, finance, and enterprise domains. I have architected and managed cloud-native Druid clusters on Google Kubernetes Engine (GKE), integrating Apache Kafka, Spark, Airflow, and cloud storage to support both real-time and batch ingestion workflows. I enjoy working close to the platform layer—automating deployments, tuning JVM and query performance, designing ingestion specs, and building strong observability using Prometheus and Grafana. Beyond pipelines, I care deeply about reliability, security, and scalability. I’ve implemented CI/CD workflows, blue-green deployments, RBAC, encryption, and compliance-aligned architectures while mentoring teams on operational best practices. I’m most motivated by solving hard data infrastructure problems—where streaming scale, performance, and reliability matter—and turning complex systems into platforms teams can trust.