Dec 2020 – Jan 2022 · 1 yr 1 mo · Santa Clara, California, United States

• Managing a team of 15 Technical Engineers working for customers like PayPal, IQVIA, CITI, Apple, Marketo, Microsoft, Deutsche bank, and Norfolk Southern.
• Architect and provided Subject Matter Expertise on big data, Hadoop stack, analytics working on hybrid cloud solutions (GCP/AWS) for the customers.
• Work closely with the account, customer, and product teams to strategize and develop/architect solutions to meet customer needs.
• Work closely with customers to capture feedback and develop requirements /user stories for the product backlog.
• Work with the pre-sales team and product excellence teams to create and deliver best practices and presentations adapted for technical and business stakeholders.
• Build a talent pipeline and mentor team members for architecting/ delivering customer solutions and accelerate their learning on the product, solution, and customer requirements.

Jan 2019 – Dec 2020 · 1 yr 11 mos · Santa Clara, California, United States

• Summary
• Worked in complex environments with customers like PayPal/eBay/Marketo/Microsoft.
• Worked on clusters with 4000 nodes at ~400 PB of data and fixed challenges related to scaling Namenode above 500M files and folders
• Reducing GC pauses by doing JVM tuning and various tunings to bring down RPC from 400Ms to ~90ms.
• Strategized and executed the move of ~30k jobs on production cluster from Hive on MR to Hive on Tez, reducing the job run time by 9x.
• Gained 3x performance boost on HBase by writing a utility to merge 0 size regions. Reducing region count from 19k to 39k.
• Contributed features and helped with performance testing guidance to the Apache Ozone community. Helped running TPC-DS benchmark and how we stand compared to competitors like Cloudian/MinIO
• On-prem to cloud journey by helping customers evaluate HDP on GCS vs HDP on HDFS on GCP.
• Architecture reviews and tunings to achieve desired results.
• 4x Performance boost on Hbase cluster by tuning muti-gets,
• 2x Performance boost by pointing out code issues on spark apps.
• Enabled Yarn Cgroups to reduce the CPU utilization by containers by 20x
• Automations: Various Parsers, analyzers, and stabilizers contributed.
• Generate formulas for organic growth planning on hardware based on the various metrics
• HBase: read/write requests, active handler counts MOM.
• HDFS: Disk usage and file count growth MOM
• YARN: Memory used/Vcores used on a production environment
• SME on Hive, HDFS, HBase, Yarn, and Spark.
• Collaborate with the Product & Engineering teams on the product roadmap and align with customers

Dec 2017 – Nov 2021 · 3 yrs 11 mos

Oct 2016 – Jan 2018 · 1 yr 3 mos · San Jose, California, United States

Aug 2015 – Jan 2019 · 3 yrs 5 mos · Santa Clara, California, United States

• Provided top tier support for Cloudera products, working directly with engineering and customers as needed to resolve issues of the highest complexity and priority.
• Subject Matter Expert on Apache Hive, HDFS, HBase, and Spark.
• collaborate with the Product Engineering team on Product fixes and enhancements by understanding customer use cases, provide development support for customers for the issues while implementing use cases in Python, Perl, and shell.
• Troubleshoot performance and scalability issues, identify the pattern in customer reported issues, and work with Engineering to address them.
• Work closely with Product Managers and other Subject Matter Experts to meet the needs of the customer support organization - from the infrastructure up to the highest level of tools and applications.
• Engage proactively and provide the next steps for faster resolution of the complex issues.
• Helped customer designed and implemented solutions using Hadoop Technology Stack. Work on some of the biggest Hadoop clusters(1000s of nodes) in the industry today and fix scale related issues.

Mar 2015 – Aug 2015 · 5 mos

• Application deployments on various guaranteed Ad delivery Platforms (Inventory management System, Guaranteed delivery and Federated ad call)
• Worked on the launch automation
• Capacity Management for the advertising stack (hardware management, OpenStack.)
• Scripts to automate manual steps and human interventions
• Developed tools such as: Booking tracker (tracks NOAD delivery over ad guaranteed ad platform) and Host Management System (tracks and manages the heartbeat of around 5000 ad serving hosts and help in capacity and QPS planning)
• Do extensive system monitoring, capacity planning for production systems
• Troubleshooting production outages
• Work with development, support and business teams and create PRDs for internal tools and work towards the finish products
• Also worked on E2E troubleshooting
• Tools used: Jenkins, Bugzilla, Jira, Openstack and Jiveon
• Technologies: PHP/MySQL, shell scripting, LINUX, PERL, ATS, PERFORCE and GIT

Sep 2010 – Mar 2015 · 4 yrs 6 mos

• Subject Matter Expert for Behavior Targeting on Yahoo Ad Platform
• Support Ad platform which includes Ad serving, Impression booking, order creation, and other related Modules on the legacy and modern platforms
• Triaging high revenue issues on a daily basis in-depth to analyze the root cause of the error and provide an immediate solution before the code fix to avoid revenue impact
• Design and execute queries to fetch data from over 100 plus tables across multiple DB schemas
• Search various Linux based servers to fetch the error reports and do an in-depth analysis of errors.
• Create internal tools for the team using PHP and MySQL
• Tools Used: SOAP UI, SQL developer, Putty, Bugzilla (Ticketing system), adobe connect, Yahoo! CRM, Eclipse and other internal yahoo tools
• Technologies: JavaScript, Oracle 10g, Linux, hadoop, MySQL, PHP, PIG and Hadoop

Apr 2010 – Aug 2010 · 4 mos · San Francisco Bay Area

• Development of the Claims feature for Nationwide (client) in Base product, a web-based application, which automates complex processes in insurance domain like generation of quotes, policies, billing, claims, etc. for the customer
• Gained extensive exposure to Spring MVC, JSF, and Liquibase for database migration and best coding practices
• Technologies: Java 1.5, J2EE, Oracle 10g, Maven, Liquibase, JSF, spring framework, Apache Tomcat,
• Tools: JIRA, WebEx, Total Commander, Putty, Eclipse, WinSCP

Jul 2009 – Sep 2009 · 2 mos

• Bug fixing and new feature development for vCenter mobile application (VCMA)
• Added new functionalities like (caching mechanisms)
• Bug tracking using Bugzilla and perforce for revision control
• Used JavaScript and JSTL for the front-end
• Used Struts framework to implement a MVC design approach
• Used Log4J for logging and tracing the messages and implemented IN18 standards for the application
• Used ANT scripts to build the application and deployment
• Performed unit testing of core functionalities through JUnit
• For implementing the functionalities like resource pool sharing did VMotion and used the ESX servers
• Implemented the concept of reading from the properties files and also from the xml files for the application
• Tools/Technologies Used: MVC architecture, J2EE, Java, JSP, JDBC, XML, XSL, Tomcat, UNIX, Apache Tomcat, struts framework and eclipse

Jul 2006 – Mar 2007 · 8 mos

Jun 2004 – Aug 2004 · 2 mos

• Remodeled the website www.cea.nic.in.
• Added a number of validations and constraints.
• Maintained a database with more than 50,000 records.
• Tested the site for performance and regression.
• Worked closely with the various departments to incorporate the required features.
• Earned a reward of outstanding intern for summer 2004.
• Environment: Notepad, MySQL, JavaScript, VBScript, and HTML.
• School Projects:
• University Record System