• Built an end-to-end Scala Spark pipeline to track workflow reliability across teams, integrating outputs into Retina (in-house dashboarding tool) that surfaced actionable insights, improving org-wide job success rate from 70% to 95% (+25%) by surfacing top failing flows and holding biweekly meetings with flow owners.

• Maintained waterloo-lime API, a high-throughput service handling 500K+ QPS serving member data to all internal Linkedin consumers. reduced ERROR/WARNING logs by 50% by fixing critical bugs such as batchGet, A/B testing misconfigurations, table usage, and restored functionality and reliability in the testing environment.

• Led the migration of 8 processors from in-house taxonomy storage (Wormhole) to open-source solution (Ambry), designing a reusable repository for taxonomy downloads, version polling, and integration with both Samza (stream processing infrastructure) and Spark workflows.

• Currently migrating waterloo-databus-adapter, a stream processor for profile update Kafka messages, from Samza to Apache Flink, rebuilding low-level APIs, implementing custom windowing logic for deduplication, integrating RESTLi-based reprocessing, and validating correctness via parity testing.

• Collaborated cross-functionally with multiple teams, triaging client issues (e.g., incorrect data, quota overuse, access errors), leading biweekly reviews, and ensuring system reliability and client trust across critical infrastructure.

• Built a Java based internal command line tool to automate the impact analysis of deprecating a dataset or a field.

• Enabled analysis of 1000+ datasets with metadata exceeding 500MB within 5 minutes.

• Improved analysis time by 8x over existing manual processes while also reducing human error.

• Integrated tool with internal services to retrieve metadata and dependency information about a dataset/field.

• Implemented a loosely coupled plug-in architecture to allow integration of 3rd party services.

• Utilized CloseableHttpClient, HttpResponse and HttpGet libraries to communicate with API’s.

• Authored concise and user-friendly documentation for both clients and developers.

• Utilized ReactJS to work on Custom Behavioral Events(CBE), an app that allows businesses to track user interactions and behaviors from any online page and gain access to interaction insights such as user location, visited page, device type etc.

• Navigated and extracted information from API calls and utilized ImmutableJS to manipulate the data and implement the “Timestamp” filter on the CBE page which lets users see the timestamp of when an event occurred.

• Utilized useHistory and created a custom hook to persist date filters such as report frequency and date range on the URL so that data is pulled from the URL instead of reverting to default settings.

• Implemented tests using the React Testing Library to mimic user interactions via click, scroll and hover events.

• Built highly scalable, generalized functions that abstract functionality which resulted in clean, efficient and reusable code and avoided repetition.

• Developed and implemented reusable UI components for the event creation flow for CBEs.

• Pioneered the development, debugging and redesigning of a website for local non-profit organizations by leading an 8 member frontend team in an Agile environment.

• Exercised key concepts of ReactJS, HTML, CSS and Bootstrap5 to make the website visually appealing.

• Utilized component-based development and state-management tools like useState, useEffect.

• Coordinated effectively with the Design team regularly for a smooth development process.

• Automated end-to-end functional testing of mobile applications using the Jest and Appium frameworks.

• Built a library of scalable, low maintenance functions to serve as building blocks for test automation.

• Utilized Xcode to emulate iOS devices and tested websites' functionality via the emulators.