Acumen in architecture, design and development of multi-threaded, scalable, distributed, platforms with Java and Spring framework. Timely execution of the projects. Adept at overseeing all phases of the software development life cycle, from proof concept to implementation.

Experience

ZscalerPrincipal Engineer

2025 — Now

Santa Clara, CA

Architecting Zero Trust Network Access (ZTNA) control plane microservices powering secure access for millions of enterprise users globally

Driving cross-org engineering initiatives bridging control plane and data plane teams to deliver high-throughput, low-latency ZPA tunneling infrastructure

Designing and evolving cloud-native microservices on the ZPA control plane — focusing on policy management, scalability, and resilience at hyperscale

Hands-on with delivering coding, deployment, reviews of high impact projects in ZPA

Pioneering AI-native developer workflows within the platform — including MCP (Model Context Protocol) server integrations to bring LLM-powered tooling into internal engineering pipelines

Amazon Web Services (AWS)Sr software Engineer @EMR

2022 — 2024

Palo Alto, CA

Data Access control features for EMR@EC2

Fine grain access control with AWS Lakeformation

Working with Spark, EMRFS, AWS Glue, AWS LakeFormation

Performance optimizations in Apache Spark queries for OTF formats (Hudi, Iceberg, Delta) tables

Managing team for multiple projects like Multi-Dialect Views, RecordServer (Data filter layer)

Palo Alto NetworksSenior Software Engineer

2018 — 2022

San Francisco Bay Area

One of the early phase engineer to conceive and architect Cortex platform that provides high throughput, multi-tenant data-lake in cloud, and an echo-system of diverse set of applications and services that operate on it.

Designed and created Cortex Platform using Istio (envoy), kubernetes, docker, gRPC, kafka on GCP, GCP Resources like Deployment Manager, Cloud Composer ( Apache Airflow ), BigQuery , Cloud SQL to create and manage resources for multi-tenant micro-services

Use of Hadoop/spark/big data frame works to migrate on-prem data to cloud

Efficient use and update of Kafka topics to manage millions of events coming per second.

Part of the team for security visualization and analytics product which analyzes petabytes of data. The team implemented everything: infrastructure, backend, React frontend. Product heavily used by thousands of customers for visualization, notification and reports.

Solutions provided using:

Java, Microservices, REST, MYSQL, REDIS, Logback/Slf4J, Swagger, JUnit, Mockito, Jacoco, GCP ( Bigquery, cloudsql, deployment manager, cloud build, dataflow), Prometheus, Grafana, Kafka, Apache Airflow, Jenkins, Gradle, Spring boot, Hadoop,Spark,Istio (envoy), kubernetes, docker, gRPC,