Navneet Kaura
About Navneet Kaura
Navneet Kaura is a Senior Data Engineer with extensive experience in data warehouse development and big data applications. He has worked in various roles across notable companies and possesses strong skills in data analysis and ETL processes.
Work at Prometheus
Navneet Kaura has been employed at Prometheus Real Estate Group as a Senior Data Engineer since 2013. In this role, he focuses on developing and deploying distributed computing Big Data applications. His work involves utilizing Open Source frameworks such as Apache Spark, HBase, and Kafka, particularly in the AWS Cloud environment. His expertise contributes to the company's data management and analytics capabilities.
Previous Employment History
Prior to his current position, Navneet Kaura held several roles in the data engineering and analytics field. He worked as a Data Mining/BI Analyst at Bank of the West from 2009 to 2013. Before that, he served as a Sr. Quantitative Analyst at Palm from 2007 to 2009 and as a Sr. Business Objects/ETL at Symantec from 2006 to 2007. His earlier experience includes a role as a Sr. ETL/Data Analyst at Wells Fargo and as a Sr. Programmer Analyst at IBM.
Education and Expertise
Navneet Kaura earned a Bachelor's degree in Computer Application from APJ School, where he studied from 1994 to 1997. He later pursued a Master's degree in Computer Application at Kurukshetra University from 1997 to 2000. His academic background is complemented by over 10 years of experience in the data warehouse development lifecycle, focusing on various aspects such as requirement gathering, analysis, design, data modeling, development, testing, and support.
Technical Skills and Specializations
Navneet Kaura possesses expertise in developing and deploying distributed computing applications using Big Data technologies. He is skilled in implementing large-scale near real-time streaming data processing pipelines and writing complex ETL processes. His proficiency extends to data analysis and management concepts, utilizing tools such as SPSS, IDE, and SAS Enterprise.