Ashutosh Goyal
About Ashutosh Goyal
Ashutosh Goyal is a Data Engineer 1 currently employed at LatentView Analytics in Chennai, Tamil Nadu, India. He has experience in data transformation, automation, and efficient data management, having previously worked as a Business Analyst Intern and a Maintenance Engineer.
Work at LatentView Analytics
Currently, Ashutosh Goyal serves as a Data Engineer 1 at LatentView Analytics, a position he has held since 2022. In this role, he has focused on developing Change Data Capture (CDC) streams and employing zero copy cloning techniques for effective data management within the Snowflake platform. His responsibilities also include automating the ingestion of various file formats, such as JSON, Avro, and Parquet, utilizing Snowpipe to streamline data processes. Additionally, he has created events, notifications, and triggers to improve data processing workflows, contributing to the efficiency of data operations at the company.
Previous Experience as Business Analyst Intern
Before joining LatentView Analytics, Ashutosh Goyal worked as a Business Analyst Intern at Extension Technologies for one month in 2022. This role was based in Faridabad, Haryana, India, where he gained experience in analyzing business processes and contributing to data-driven decision-making. His internship provided him with foundational skills that he later applied in his data engineering career.
Experience as Maintenance Engineer
Ashutosh Goyal was employed as a Maintenance Engineer at Hindusthan Engineering & Industries Limited from 2021 to 2022 for one year. His work was based in Kolkata, West Bengal, India. In this position, he was responsible for ensuring the operational efficiency of machinery and equipment, which involved troubleshooting and maintaining various engineering systems.
Education and Expertise
Ashutosh Goyal completed his Bachelor of Technology (BTech) in Mechanical Engineering at Echelon Institute of Technology from 2016 to 2020. This educational background provided him with a solid foundation in engineering principles, which he later applied in his roles in data engineering and analysis. His expertise includes data transformation, cleaning processes using SQL and Python, and data management in cloud environments.