Raj Kumar Bhagat

About Raj Kumar Bhagat

Over 13 years of hands on experience in developing low latency, high throughput, resilient, scalable and maintainable solutions with cutting edge technology having varied levels of business complexity. Have rich multi-domain experience in Telecom, Location Based Solutions and investment banking.Passionate about technology and it’s application to create robust and reusable product components. Have ability to quickly catch-up and become productive. Proactively involve in introducing new tools and tips for process improvement in the project. Good understanding of Design patterns, data structures and algorithms. • Strong understanding of data structures, concurrency framework, java, multi threading & JVM tuning. • Hands on Big Data (Hbase, Kafka, Spark Streaming)• Good understanding of concurrency and synchronization used in multi region production environment.• Productionization of cutting edge technology with the goal to minimize the risk involved• Firefighting production problems with extremely quick turnaround time.• Hands-on development with Java/JavaEE, Restful Services, Hbase, Hive & other hadoop ecosystem tools, mongoDb, and other popular open source frameworks.

Experience

1. Vice President, Eto Engineering

   Goldman Sachs

   Oct 2015 — Present · Bangalore, IN

   Built a high-volume low latency telemetry streaming platform to process messages from a wide array of sources using Kafka, RabitMQ, Hazelcast, Yarn, HBase and Spark Streaming.Designed and built model execution platform to support batched and near real-time Machine Learning models which enabled high system availability and reduction in operations cost across organization.Designed and built frame work to provide dependency graph with current status(in term of telemetry and health and health prediction) to model complex inter-dependencies of business functions. This serves as the backbone for automated alert resolution.Designed and build completely resilient and highly available system which can tolerate both machine level failures and data center level failures with automated fail-over to maintain 99.9% service availability.

Education

• Motivational Pathway

  B.Tech, Computer Science

  2002 — 2006

• GLA Institute of Tech & Mngt

  B.Tech, Computers

  2002 — 2006

Skills

• Drools
• Spring
• Hbase
• Unix
• Apache Spark
• Java Enterprise Edition
• Yarn
• Java
• Junit
• Hibernate
• Spring Framework
• Algorithms
• Hadoop
• Servlets
• Apache Kafka
• Requirements Analysis
• Core Java
• Mongodb
• Web Services
• Tomcat
• Agile Methodologies
• Maven
• Unix Shell Scripting
• Hazelcast
• Spark Streaming
• Design Patterns