Yatheeswar Guntko
About Yatheeswar Guntko
Yatheeswar Guntko is a Senior Data Engineer with over 11 years of experience at The New York Times and a background in developing enterprise data solutions and BI systems.
Current Role at The New York Times
Yatheeswar Guntko has been employed at The New York Times as a Senior Data Engineer since 2013. In this role, he has contributed significantly to the organization by defining information architecture and designing enterprise data warehouse and Big Data platforms for business intelligence (BI) reporting and analytics. His expertise in data engineering has played a crucial role in the development of systems that support the company's data-driven initiatives.
Previous Experience at Hearst
Before his current position, Yatheeswar worked at Hearst as a Senior Data Engineer from 2015 to 2017. During his two years in the Greater New York City Area, he focused on enhancing data processing capabilities and supporting the company's data analytics efforts. His experience at Hearst added to his extensive background in data engineering.
Career Background in Data Engineering
Yatheeswar Guntko has a diverse background in data engineering, having worked at several organizations. He served as an Essbase Developer at Covance from 2005 to 2007 and as a Senior ETL Developer at Cognizant from 2009 to 2013. He also worked as a Consultant/Essbase Developer at The New York Times from 2007 to 2008. His roles have involved various aspects of data processing and analytics, contributing to his comprehensive skill set in the field.
Education and Expertise
Yatheeswar obtained a Bachelor’s Degree in Electronics and Instrumentation Engineering from Basaveshwar Engineering College, where he studied from 1994 to 1999. His educational background has provided him with a strong foundation in engineering principles, which he has applied throughout his career in data engineering and analytics.
Technical Skills and Projects
Yatheeswar has extensive technical skills in data engineering, particularly in utilizing Amazon AWS and S3 storage for data processing. He has experience with Amazon Redshift, EMR, and EC2 technologies. He has designed and developed data ingestion processes for integrating Google DoubleClick and click-stream data into the Hadoop ecosystem. Additionally, he played a lead role in developing a Digital Advertising BI system that processes over a billion web log transactions daily.