Radhika Bajaj Email and Phone Number

• Optimizing performance of the in-house Apache Spark data processing platform by speeding up query runtime and efficiency, leading to a faster response time for customers using the Workday Analytics product• Conducted comprehensive benchmarking to integrate the Apache DataFusion Comet plugin into the in-house Spark engine, evaluating performance benefits and trade-offs against the existing system and alternative plugins• Debugged and resolved issues using Spark application logs and the Spark history server to ensure seamless compatibility of the DataFusion Comet plugin with the internal environment• Maintained and enhanced Linux Bash scripts to streamline the team’s development workflow, improvingautomation of the benchmarking system• Using Scala to implement features to enhance the Apache Spark engine

• Actively engaged in software development, leveraging the Agile Scrum process to optimize the Analytics Core Reporting product, handling 3.5 billion report executions/month across user base• Built an application to create graphical visualization of code flow for Workday’s internal programming language, XO, to help developers in their daily development tasks and bug triaging process• Constructed a Spring web service in Java and established REST API endpoints to communicate with aReact.js frontend to query data stored in the Neo4j Graph DB• Implemented ORM of 1000+ data records of XO objects and relations stored in the database to create a graph datastructure visualization on a React.js application, utilizing the D3.js library• Conducted architectural decisions to ensure efficiency, optimization, and robustness of the project