Working as a tech-lead for one of the Cloud teams at Google, I have over 13 years of experience in solving complex problems in distributed environments using Big Data, Cloud, and Generative AI technologies. I am passionate about creating scalable, reliable, and cost-effective data platforms that enable data-driven decision making and innovation.Currently exploring the LLMs eco-systems. Previously I have contributed to multiple initiatives at Indeed.com, such as building an ingestion platform that brings data from various sources to GBQ, developing AWS-based pipelines that process close to 10 billion data points a day, and reducing the cost of pipelines by 40%. I also lead a team of six developers and collaborate with cross-functional stakeholders to deliver high-quality products and features. In addition, I am an Apache Hadoop Contributor and a certified Data Processing Specialist and Generative AI Practitioner. My strengths include a never-say-no attitude, a good team player, and leadership skills. Technical strengths include:• Artificial Intelligence: Large language Models (LLMs)• Languages: Java, Scala, Python• Big Data Stack: SPARK, Hadoop, Yarn, Mapreduce, Hive, Oozie, Sqoop, HCatalog, HBase, Storm, Ambari, Kafka, Elastic Search, Zookeeper, Azure, AWS, GCP, Generative AI, Large language models• OPEN SOURCE: contributions to SQOOP and YARN• Databases/Search: MY-SQL, Oracle, PL-SQL, NO-SQL, Elastic Search, Redis, HBase• Servers: TOMCAT, JBOSS• Virtual Stack: Vmware ESXi including Vcenter and Microsoft Hyper-V including VMM• Web designing: HTML, XML, CSS, PHP, js, JQuery, Ajax, Ext.js• Other skills: JSF, JPA, Spring MVC, JDBC, Hibernate, Maven, JSP, Servlets, Stripes, JSON, JMS, Shell scripting, Junits• Tools: Eclipse, Toad, SVN, VSS, Clearcase, Perforce, GitHub, Jenkins, Jira