● Over 15 years of engineering experience specializing in the design, architecture, and implementation of distributed systems at scale. ● Proficient in Hadoop data processing, ETL operations, and database design.
Experience
2023 — Now
2023 — Now
• Leading PayPal’s payment processing cloud migration
• Led cross-platform latency optimizations across payment systems, delivering major performance gains through GC tuning, network optimization, framework improvements, and call consolidation.
• Improved availability and resilience of the cost engine platform by introducing automated recovery, component restartability, retry mechanisms, and query optimizations.
• Designed a next-generation cost engine architecture, achieving ~50% faster processing while reducing infrastructure and operational costs.
• Championed shadow testing for microservices, enabling safer regression testing in production-like environments.
• Drove operational excellence through strong observability, including SignalFX dashboards, alerts, and proactive incident management.
• Led database sharding initiatives to improve scalability and supported large-scale database cloud migrations.
2020 — 2023
2020 — 2023
San Jose, California, United States
● Led the effort in scaling up/out of cost engine platform using various techniques like horizontal
scaling, batching out as well as multi threads calls for DB/MicroService reads/writes, using Cache, pre-aggregation of the data, SQL query optimizations, fetching only required data during initial read, avoid unnecessary outgoing calls.
● Led the effort in achieving operational excellence, improving quality of the cost engine platform
● Designed frameworks to reconcile the data (actual vs expected), perform regression testing using
production test cases.
● Enhanced scope of the cost engine platform by adding support for new processor’s data and
providing APIs for other tenants to use.
● Successfully led migration to usage of cost effective resources, build vs buy evaluation for cost
engine configuration system.
2017 — 2020
2017 — 2020
San Francisco Bay Area
● Initiated the development of the cost engine platform, crucial for calculating itemized fees for tens of
millions of card transactions daily.
● Led the development and migration of data loaders and processors from the legacy stack
(Informatica/C++) to the modern Java-based stack.
● Developed libraries to streamline the data uploading process to Druid, supporting the creation of
business reports.
● Engineered a robust functional test framework adopted across the domain, resulting in improved
reliability, minimal resource usage, and comprehensive code coverage assessment.
2013 — 2017
San Francisco Bay Area
● Designed and implemented directed acyclic graphs (DAGs) and workflows to efficiently ingest millions of records using DataTorrent and Oozie into Hadoop Distributed File System (HDFS), Hive, ElasticSearch, and Open Time Series Database (OpenTSDB) , ensuring scalability.
● Developed core features in SensorIQ web application to process millions of events and
scheduling reads for devices in a smart grid network using Java, Spring, JMS and Oracle
● Designed and implemented REST APIs and SOAP Web services using Mule-ESB and JAX-WS
● Worked on tuning the data-ingestion process improving speed by 50%
Environment: Java, Hive, Elastic Search, HDFS, REST, DataTorrent, Oozie, Kafka, OpenTSDB, REST, SOAP, JAX-WS, Apache CXF, Spring MVC, JDBC, Oracle 11G, JSP, PL/SQL, Mule-ESB, JMS, IntelliJ, SQL Developer, Perforce
2012 — 2013
2012 — 2013
San Francisco Bay Area
Designed and implemented the efficient ETL process to automate the data loading and validation improving the data quality
Education
Osmania University
Bachelor's Degree
Naveen Jindal School of Management, UT Dallas