Working on Identity - User data Org.

Building highly scalable & low latency systems.

Designed and implemented a performance Insights dashboard for the PPCP Checkout product, a GraphQL API built on the Spring Framework with data sourced from BigTable. Developed an ETL pipeline to aggregate BigQuery data, enabling a low-latency dashboard that increased SMB merchant traffic and facilitated cross-selling of the Fastlane product.

Role: Lead Engineer, design and implement solutions

Tech stack: Java, BigQuery, BigTable, GCP and Batch jobs

Business domain: Checkout Conversion, Sales and Disputes

Credit Risk Backend developer in PPWC product. The team strives to realize the vision of PayPal - bringing financial freedom to all parts of society. I worked on credit underwriting service based on JAX-WS.

1. Specifically upgrading the service API from older to new version

2. REST API Request header and body validation.

3. Setting up CI/CD pipeline for faster development cycles

4. Briefly worked on Geo-Expansion of PPWC to locations like France and Netherlands

Internally moved to Braintree Merchant Reporting org to work on critical initiatives for PayPal.

1. Worked on ingesting TC40 Fraud notification data from different banking partners like AIB, Wells Fargo.

2. Setting up batch jobs in Airflow for these ingestion jobs.

3. Worked on adopting the latest reporting tool to generate report for merchants.

4. Working on migrating the reports from standalone batch jobs to automated config driven reports for better performance, manageability and scalability.

• Automated REST API Testing for PPWC credit risk merchant product using Karate Library

• Added functionality to verify resource updates to downstream services for all test scenarios

• Increased MTTR – Mean time to resolution by decreasing the overall test execution time by more than 70%

• Decreased Developer work effort to just adding a new line for supporting future test cases.

• Improved product (Cisco - IOS-XE) quality by fixing defects in streaming protocols (Multicast protocols) in network layer.

• Approximately fixed 1.5 defects per week.

• Designed Yang modelling for multicast commands which improved product usability and ease to automation