Satya Prakash
About Satya Prakash
Satya Prakash is a Senior Data Engineer with extensive experience in data modeling, ETL processes, and cloud data management. He has worked for notable companies including Thomson Reuters, Mayo Clinic, and Homesite Insurance, utilizing technologies such as Azure, AWS, and Google Cloud Platform.
Work at Thomson Reuters
Satya Prakash currently holds the position of Senior Data Engineer at Thomson Reuters, where he has been employed since 2022. His role involves advanced data engineering tasks, contributing to the company's data infrastructure and analytics capabilities. Located in Eagan, Minnesota, he is part of a team focused on enhancing data processes and supporting business intelligence initiatives.
Previous Experience in Data Engineering
Prior to his current role, Satya Prakash worked at Mayo Clinic as a Senior Data Engineer from 2019 to 2022. He was responsible for managing data engineering projects that supported healthcare analytics. Before that, he served as a Data Engineer at Homesite Insurance from 2017 to 2019, where he was based in Boston, Massachusetts. His earlier experience includes working at COUTH INFOTECH PRIVATE LIMITED and MAISA SOLUTIONS, INC. in Hyderabad, India.
Technical Skills and Expertise
Satya Prakash has developed a strong technical skill set in data engineering. He utilized a reverse engineering approach to redefine entities, relationships, and attributes in data models. He has built Azure Data Warehouse table datasets for Power BI reports and developed ETL processes using AWS Glue for data migration from various external sources into AWS Redshift. He is also experienced in moving data between Google Cloud Platform and Azure using Azure Data Factory.
Data Processing Techniques
In his data engineering roles, Satya Prakash has implemented Spark DataFrames and Spark SQL API to enhance the efficiency of data processing. His experience includes working with diverse data formats such as S3, ORC, Parquet, and text files, which are integral to modern data workflows. His expertise in these technologies supports effective data management and analytics.