Phani Rahul Pedduri
About Phani Rahul Pedduri
Phani Rahul Pedduri is a Lead Developer with extensive experience in big data technologies, including Spark, HBase, and Kafka. He holds a Bachelor's degree in Computer Science from Jawaharlal Nehru Technological University and a Master's degree from the University of North Carolina at Charlotte.
Current Role as Lead Developer
Phani Rahul Pedduri currently serves as a Lead Developer at FINRA, a position he has held since 2020. In this role, he focuses on developing and implementing solutions for data and process monitoring. His responsibilities include leveraging his expertise in various technologies to enhance the organization's data capabilities.
Work at FINRA
Phani Rahul Pedduri has a substantial history with FINRA, having worked there in multiple capacities. He initially served as a SQL/Big Data Developer (consultant) from 2014 to 2015 before transitioning to a Big Data Developer role from 2017 to 2020. His current position as Lead Developer began in 2020 and continues to the present.
Education and Expertise
Phani Rahul Pedduri earned a Bachelor's Degree in Computer Science from Jawaharlal Nehru Technological University, where he studied from 2008 to 2012. He later pursued a Master's Degree in Computer Science at the University of North Carolina at Charlotte from 2013 to 2014. His educational background provides a strong foundation for his expertise in technologies such as Spark, HBase, Kafka, Kudu, and Elasticsearch.
Professional Experience
Phani Rahul Pedduri has accumulated diverse experience in the field of big data and software development. Before his tenure at FINRA, he worked as a Big Data Developer at Cloudwick Labs for three months in 2016 and as a Big Data Consultant at Visa Inc from 2015 to 2016. Additionally, he held roles as a Research Assistant and Java Programmer at the University of North Carolina at Charlotte in 2013.
Technical Skills and Knowledge
Phani Rahul Pedduri possesses a strong technical skill set that includes proficiency in version control systems such as SVN and Git. He has a solid understanding of machine learning concepts and is skilled in using search engines like Indri, Lucene, Google, and Bing for information retrieval. His capabilities in developing shell scripts further enhance his ability to monitor data and processes effectively.