{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Software Engineer III","company":"Adobe","location":"San Jose, CA","range":"Jan 2026 - Present","url":"https://www.adobe.com/"},"html":"<ul>\n<li>Architected and shipped a columnar data-mapping engine on Apache Spark Catalyst for the Adobe Experience Platform ingestion pipeline, replacing a legacy per-row Java interpreter with vectorized, compiled column expressions — cutting record-mapping latency by ~33% and substantially reducing compute cost at global ingestion scale.</li>\n<li>Earlier, as an intern on the team, migrated small-batch consolidation jobs from one-off Databricks clusters to long-running Spark; across 63k jobs/day this reduced average ingestion latency by ~11 minutes and significantly cut compute cost.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Senior Software Engineer","company":"Flipkart","location":"Bengaluru, India","range":"Jul 2019 - Jan 2024","url":"https://flipkart.com/"},"html":"<ul>\n<li>Authored APIs to deploy MySQL and TiDB database clusters across multiple data-centers, to achieve 0 recovery time during a data-center level disaster, and ensure 99.99% uptime.</li>\n<li>Automated MySQL database cluster operations, including Hotstandby promotion, version upgrades, and configuration updates, saving 400 man-hours weekly for 200+ teams and enabling them to focus more on core business logic.</li>\n<li>Streamlined deployments for 3 teams by dockerizing applications and building a generic CI/CD pipeline for Kubernetes deployments. This resulted in a 40% reduction in hardware utilization and tripled deployment frequency, enabling faster delivery of features.</li>\n<li>Increased reliability of slave rebuilds for large MySQL database clusters (>3TB) by 75% through collaboration with the Percona MySQL team.</li>\n<li>Designed and Implemented a plugin for taking backups from TiDB database clusters, facilitating a 20% increase in the adoption of TiDB across the organization.</li>\n<li>Built an extensible hardware fault detection platform for detecting disk failures across the data center, reducing the mean time to acknowledge faults from 2 days to under 2 hours.</li>\n<li>Established SLAs and streamlined JIRA workflow, achieving a 33% reduction in mean time to close P1 issues and improving customer experience significantly.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Software Development Intern","company":"Reliance Jio","location":"Hyderabad, India","range":"Jan 2019 - Jun 2019","url":"https://jio.com/"},"html":"<ul>\n<li>Developed an internal admin tool to curate content for the MyJio mobile application, reducing content administration time by 50% (from 20 hours to 10 hours per week) and reduced chances for errors in input by 90%.</li>\n<li>Developed mobile apps meant for user engagement on the MyJio app.</li>\n<li>Took full ownership of a user-facing app that simulated “Kaun Banega Crorepati” which was used to engage users daily during IPL.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Software Development Intern","company":"DBS","location":"Hyderabad, India","range":"May 2018 - Jul 2018","url":"https://www.dbs.com/in/index/default.page"},"html":"<ul>\n<li>Developed a tool to analyse and report the impact of a given code change across all the methods in a library.</li>\n<li>Built the tool as an Eclipse IDE plugin which was integrated into the CICD process for the extended team.</li>\n</ul>"}}]}}}