Viswashree K
About Viswashree K
Viswashree K is a Data Engineer with extensive experience in data analysis and processing using Google Cloud services. Currently employed at Swift, she has previously worked at Discover Financial Services, Infibeam Avenues Limited, Regeneron, and Amazon, specializing in various data engineering roles.
Work at Swift
Currently, Viswashree K serves as a Data Engineer at Swift, a position held since 2021. In this role, she focuses on data analysis and processing, utilizing her expertise in cloud technologies. Her responsibilities include implementing data processing solutions and managing data workflows to enhance operational efficiency.
Previous Experience in Data Engineering
Before joining Swift, Viswashree K worked at several notable organizations. She was a Cloud Data Engineer at Discover Financial Services from 2019 to 2021 in Chicago, Illinois. Prior to that, she held the position of Big Data/Hadoop Developer at Regeneron from 2018 to 2019 in Albany, New York. Her career began as a SQL Developer at Infibeam Avenues Limited from 2014 to 2016 in Gujarat, India, and she also worked as a Hadoop Developer at Amazon from 2012 to 2014 in Bengaluru, Karnataka, India.
Education and Expertise
Viswashree K holds a Master's degree in Computer Science from the University of Dayton, where she studied from 2017 to 2018. Her educational background provides a strong foundation for her work in data engineering and cloud technologies. She has developed skills in utilizing Google Cloud services, including BigQuery, Data Flow, and Cloud Storage, as well as Apache Spark on AWS EMR clusters.
Technical Skills and Tools
Viswashree K has extensive experience with various data engineering tools and technologies. She has configured and managed service accounts and PUBSUB for secure data handling. Additionally, she has developed workflows using Google Cloud Composer (Airflow) for orchestrating data pipelines. Her proficiency in managing data storage and retrieval using Google Cloud Storage and S3 buckets enhances her capabilities in data processing.