Ramachandran Krishnan

About Ramachandran Krishnan

Results-driven Software Architect and Apache Ranger & OCIFS Committer with 19 years of experiencedesigning high-performance, distributed, and secure systems across microservices, REST, and event-drivenarchitectures.Expert in Java/JEE, distributed computing, NoSQL, and system scalability, with proven success inperformance tuning, caching, messaging, and JVM optimization.At Oracle AI Data Platform, architected scalable microservices for metadata and non-tabular datagovernance, integrating Oracle ATP, Redis, and Apache Ranger for secure and high-throughput operations.Contributed upstream to Apache Ranger and OCIFS, driving performance optimization and featureinnovation within the Oracle AI Data Platform ecosystem.Previously at Groupon, engineered real-time data indexing pipelines using Apache Storm and Elasticsearch,and built Redis-powered caching frameworks that improved search freshness, latency, and systemscalability.Also led data privacy automation for GDPR and CCPA compliance, enhancing system reliability,regulatory alignment, and customer trust.A hands-on technical leader passionate about scalable architecture, distributed systems, and performanceengineering, driving innovation and engineering excellence in large-scale environments.

Experience

1. Sr Principal Member Technical Staff

   Oracle

   May 2022 — Present · Bengaluru, IN

   Architected and developed the Volume Service, a scalable microservice enabling POSIX-based file and folder operations, and metadata management for the Oracle AI Data Platform using Oracle ATP.Integrated Apache Ranger to deliver fine-grained RBAC and access control, ensuring enterprise-grade security, compliance, and scalability.Engineered Redis-based enhancements for ATP data migration, including distributed locking, Lua-based performance tuning, and optimised connection pooling, significantly improving throughput and reliability.Designed and developed multi-cloud support for the Oracle AI Data Platform, enabling stakeholders to apply centralised governance and coarse-grained RBAC on data stored in AWS S3 File System Storage, achieving optimal cost efficiency.Re-architected the Volume Service from a single-tenant to a multi-tenant model, cutting pod deployments from 300 to 9 per region, optimising resource utilisation by approximately 90%, and reducing infrastructure expenditure by approximately 85%, while improving scalability and maintainability. Implemented P99 latency metrics and observability dashboards to improve system visibility and optimise end-to-end latency across critical microservices.Contributed to open-source projects like Apache Ranger and OCIFS, with performance fixes, new features, and integration improvements adopted within the Oracle AI Data Platform ecosystem

Education

• Anna University Chennai

  BE, Electronics and Communication

  2002 — 2006

Skills

• Oracle 11g
• Jquery
• Mapreduce
• Maven
• Spring Boot
• J2ee Application Development
• Jaxp
• Postgresql
• Spring
• Hbase
• Redis
• Spring Framework
• Java
• Javaserver Pages (Jsp)
• Cascading
• Oracle
• Avro
• Tomcat
• Ajax
• Couchbase
• Apache Drill
• Nagios
• Sqoop
• Github
• Apache Kafka
• Javascript
• Axis2
• Sql
• Restful Webservices
• Apache Zookeeper
• Linux
• Jaxb
• Hibernate
• Git
• Lucene
• Jsp
• Core Java
• Struts
• Flyway
• Virtualization