∙ ZooKeeper Service Enhancement: Spearheaded efforts to enhance the stability and reliability of the ZooKeeper service, ensuring seamless operation for critical LinkedIn applications.

∙ Performance Optimization: Implemented performance tuning strategies to optimize ZooKeeper's throughput, reducing latency by 20% and enhancing overall system efficiency.

∙ Capacity Planning: Led capacity planning initiatives, forecasting future growth and resource requirements for the ZooKeeper service, resulting in cost-effective infrastructure scaling.

∙ Scaling Solutions: Designed and implemented scaling solutions to accommodate the growing demands of LinkedIn's distributed systems, ensuring seamless ZooKeeper performance as the company expanded.

∙ Automation and Monitoring: Developed automation scripts and comprehensive monitoring tools to proactively detect and address issues, minimizing downtime and maximizing service availability.

∙ Collaborative Problem Solving: Collaborated with cross-functional teams to troubleshoot and resolve complex issues, fostering a culture of knowledge sharing and continuous improvement.

∙ Documentation and Best Practices: Authored documentation and established best practices for ZooKeeper service management, ensuring operational consistency and facilitating onboarding of new team members.

∙ Security and Compliance: Maintained strong security and compliance standards for the ZooKeeper service, ensuring data integrity and confidentiality in line with industry regulations.

∙ Incident Response: Played a key role in incident response and post-mortem analyses, identifying root causes and implementing preventive measures to mitigate future incidents.

∙ Training and Mentorship: Provided guidance and mentorship to junior team members, fostering their professional development within the ZooKeeper team.

ZooKeeper, Helix and distributed systems.

∙ Worked as a backend software developer on two internal web applications that handle the exchange and processing of student/faculty data across schools at USC. Built Spring based REST APIs which are being consumed by IT departments across USC.

∙ Built Apache Airflow (Python) based ETL jobs and data pipelines to ingest data into the USC Graduate School data warehouse. Improved existing pipelines to reduce cumulative pipeline run duration from 9 hours/day to 3 hours/day (~67% decrease).

∙ Built tools to orchestrate new Airflow DAGs with ease using cookiecutter (https://github.com/cookiecutter/cookiecutter). Allowed developers to create, build and deploy new Airflow DAGs in minutes without having to worry about underlying infrastructure.

∙ Formulated analytical models using Microsoft SQL Server Analysis Services and created PowerBI reports which aided administrators in decision and policy making process, directly benefiting the USC student and faculty community.

∙ Designed, developed and shipped a full-stack web application in 12 weeks. Used Python, Flask, MySQL, Bootstrap and jQuery among other technologies. Integrated realtime monitoring, alerts and click metric collection to understand user behavior and improve user experience.

∙ The self-service tool helps teams find resources related to LinkedIn's data ingestion ecosystem and request assistance from the Data Ingestion SRE (DISRE) team. It is extensively being used by teams across LinkedIn.

∙ Implemented a recommendation system to suggest resources similar to the user's question/issue to help them self-resolve most issues.

∙ The tool helped reduce the creation of new Jira issues by 40% and saved the DISRE team hundreds of hours each week otherwise needed to triage those issues. Led to within-SLA closure of around 70% of the tickets each week (15% improvement).