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Roopesh Krishna

Software Engineer II at Equilar

Roopesh Krishna began their work experience as a Data Engineer and Microsoft Business Intelligence Developer at Hewlett-Packard Enterprise in 2012. During this time, they gained expertise in business intelligence, data warehousing, and MSBI, as well as experience in designing, developing, and maintaining ETL pipelines for data warehouses using SQL Server, SSIS, SSAS, SSRS, and Informatica.

In 2017, Roopesh joined PRN as a Software Engineer. Their main responsibilities included implementing and managing data pipelines for ingesting large amounts of data from IOTs, creating Android applications using Java for IOTs, and overseeing the release of updates to IOT. Roopesh also implemented a data warehouse solution using AWS Redshift and developed data reports using the velocity framework.

Finally, in 2019, Roopesh joined Equilar as a Software Engineer II on the data team. Their roles and responsibilities include working on data technologies to improve data ingestion, transformation, and integration with client systems. Roopesh also worked on splitting legacy monolithic applications into manageable microservices and migrating application services to the cloud. Roopesh also integrated data with Salesforce using Salesforce's Batch APIs and implemented a data warehouse solution on BigQuery to optimize data analysis.

Roopesh Krishna's education history begins with their primary and secondary education at Central Food For Technological Research Institute in Mysore from 1995 to 2006. Roopesh then attended Sadvidya Semi Residential Pre-University College in Mysore from 2006 to 2008, where they pursued Pre-University studies with a focus on Mathematics and Science. In 2008, Roopesh enrolled at Visvesvaraya Technological University, where they pursued a Bachelor of Engineering (B.E.) degree in Computer Science. Roopesh completed their undergraduate education in 2012. Roopesh continued their academic journey at The University of Texas at Arlington from 2015 to 2017, earning a Master of Science (MS) degree in Computer Science.

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