About

Lovekesh Bansal is an accomplished software engineer with over 12 years of experience in developing and engineering complex software solutions in distributed environments. He possesses a "never-say-no" attitude, good team player skills, and leadership capabilities. Lovekesh has a vast technical expertise that includes languages such as Java/J2EE and Scala, and he is proficient in the Big Data Stack, including Hadoop, Yarn, Mapreduce, Hive, Oozie, Sqoop, HCatalog, HBase, Storm, Ambari, Kafka, Spark, Elastic Search, Zookeeper, Azure, and AWS. He is also skilled in web designing using HTML, XML, CSS, PHP, js, JQuery, Ajax, and Ext.js, and databases/search such as MY-SQL, Oracle, PL-SQL, NO-SQL, Elastic Search, Redis, and HBase. Lovekesh is experienced in working with platforms such as MS-DOS, MS-WINDOWS, UNIX, and MAC, and servers like TOMCAT and JBOSS. He has worked with virtual stacks such as Vmware ESXi, including Vcenter, and Microsoft Hyper-V, including VMM. He has other skills such as JSF, JPA, Spring MVC, JDBC, Hibernate, Maven, JSP, Servlets, Stripes, JSON, JMS, Shell scripting, and Junits. Lovekesh has academic skills in Data Structures, Algorithms, and EJB, and he is proficient in tools such as Eclipse, Toad, SVN, VSS, Clearcase, Perforce, GitHub, Jenkins, and Jira. Lovekesh has contributed to open-source projects such as Apache Sqoop and Apache Yarn. He is currently working as a Staff Data Engineer at Indeed, where he is leading the tech-lead in Ads data team to create various re-usable platforms. He is working on multiple initiatives, including building an ingestion platform that brings data from various different sources to GBQ and making it available for analysis in GBQ. Lovekesh is building cloud-first AWS-based pipelines processing close to 10B data points a day and creating reporting/monitoring and self-healing around it. He is leading a team of six developers and is responsible for designing and developing cross-functional initiatives for reducing the cost. Lovekesh has also created more features over the existing product, including data quality and governance. Lovekesh has previously worked at Times Internet as