# Abhilash Jha

> Senior Software Engineer @ Google | Software Project Management, Team Leadership

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/abhilash

At Google, my team and I have enhanced the data processing pipeline, catering to over 10 million users by implementing Pub/Sub technology, which significantly accelerated deployment times and bolstered team productivity. Our efforts in automating DLP and Rules binaries to production have markedly reduced operating expenses.

With a focus on innovation and efficiency, we've trimmed down code deployment schedules and DLP Onduty work by half, reinforcing my commitment to fostering growth and driving impactful engineering solutions in a dynamic tech landscape. My leadership in software project management and cross-functional team coordination underscores a dedication to pushing the boundaries of tech development.

## Work Experience
### Senior Software Engineer @ Google
Jan 2022 – Present | Sunnyvale, California, United States
- 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

### Software Engineer @ Google
Jan 2018 – Jan 2022 | Bangalore
- 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.

### Full Stack Developer @ Visor - Tax Advisor
Jan 2018 – Jan 2018 | Bangalore
- 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

### Associate @ Goldman Sachs
Jan 2016 – Jan 2018 | Bangalore
• 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

### Summer Intern @ LinkedIn
Jan 2015 – Jan 2015 | Bengaluru Area, India
• 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.


## Education
### Bachelor’s Degree in Mathematics and Computer Science
Indian Institute of Technology, Guwahati
Jan 2012 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/abhilashjha

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Source: https://flows.cv/abhilash
JSON Resume: https://flows.cv/abhilash/resume.json
Last updated: 2026-03-22