• Designed and implemented a highly scalable pipeline that leverages Pub/Sub technology to process data for an extensive user base of over 10 million customers

• Successfully tested and deployed DLP and Rules binaries to production automatically with a rollout plan in place to manage the scale of data processing

• Improved efficiency within the DLP team by updating documentation and eliminating manual testing, leading to a significant reduction in operating expenses

• Streamlined operations and reduced code deployment time from 2 weeks to 4 days, ensuring fast and reliable delivery of updates

• Reduced DLP Onduty work time by over 50%, enhancing team productivity and efficiency

• Addressed and minimized flakiness in webdriver tests, achieving a consistent testing process with nearly zero inconsistencies

• Created comprehensive Shift Left Guidance and DLP test strategy documents to guide future projects towards enhanced automation and testing standards

• Successfully eliminated the reliance on manual testing, paving the way for more efficient and effective testing strategies in upcoming projects.

• Led the re-architecture of the Bigquery export pipeline for activity metrics, enabling streaming-based exports for customers

• Created a streaming pipeline processing around 1 million qps of audit data, reducing audit event delays from 48-72 hours to p99 < 10 minutes

• Managed a team of four engineers responsible for overseeing three key products: the Master Rules List, Alert Center, and Bigquery export project.

• Seamlessly launched extractor pipeline processing over 2 petabytes of data and exporting billions of rows daily

• Transitioned BQ export project ownership and reduced dashboard pages from 60 to 1-2 per week

• Managed the Alert Center for G Suite, launching new features like Account suspension appeal action

• Led the Master Rules List project, enabling rules icon for all SKUs and significantly increasing weekly page views

• Designed and implemented rpc service framework for Customer Compliance Center, integrating with FileComp for rendering certificates

• Conducted data quality analysis for OAuth Token pipeline and implemented enhancements for OAuth Token dashboard including frontend and backend changes.

• Developed an analytic system for tracking task sequences

• Created hybrid filing feature allowing clients to file taxes using paper-filing or E-Filing methods for federal and State Tax filing

• Implemented API for sending serialized data using Django Rest framework and conducted integration and unit tests for testing functionality

• Utilized React and Redux for frontend development, and Python for backend tasks

• Designed and managed an application to perform risk review based on ad-hoc

queries.

• Developed APIs in Slang to fetch risk data from SECDB database and to

perform risk analysis.

• Developed a userinterface to perform risk review checkout. Used SUIT

datacube viewerto represent data.

• Wrote comprehensive regtests to test the functionality

• Was part of Stork team which creates and maintains different channels to

send/receive messages.

• Developed a new REST API channel in Java to send messages on mobile

devices for Linkedin users in China. Used WeChat app as the support channel

to send/receive messages from app. Also, worked on sending notification

through chrome devices.