Sai V
About Sai V
Sai V is a Senior GCP Data Engineer at Kohl's with extensive experience in data engineering and expertise in Google Cloud Platform, Apache Spark, MapReduce, Java, and Python.
Current Role: Senior GCP Data Engineer at Kohl's
Sai V has been serving as a Senior GCP Data Engineer at Kohl's since 2020. In this role, Sai utilizes expertise in Google Cloud Platform (GCP) to manage and optimize data engineering tasks. This position involves leveraging advanced skills in data processing frameworks such as Apache Spark and MapReduce to handle large-scale data operations efficiently.
Previous Position: Senior Data Engineer at Schlumberger
From 2017 to 2020, Sai V worked as a Senior Data Engineer at Schlumberger, based in Houston, Texas. During this tenure, Sai applied advanced data engineering skills to support various data-centric projects. The role required expertise in programming languages such as Java and Python, which are essential for developing and maintaining complex data pipelines.
Past Experience: Senior Hadoop Engineer at Premier Inc.
Sai V was employed as a Senior Hadoop Engineer at Premier Inc. from 2016 to 2017 in North Carolina. This role involved significant work with large-scale data processing and handling frameworks, focusing on ETL processes to streamline data integration and management tasks. The experience at Premier Inc. contributed to Sai's depth of knowledge in data engineering.
Early Career: Data Analyst at Heritage Foods Ltd.
From 2013 to 2015, Sai V served as a Data Analyst at Heritage Foods Ltd. in Hyderabad, Telangana, India. This position marked the beginning of Sai's professional journey in the field of data analytics. The role involved analyzing and interpreting data to support business decisions, laying a strong foundation for subsequent roles in data engineering.
Expertise in Data Engineering and ETL Processes
Sai V has developed extensive expertise in data engineering, primarily focusing on cloud-based platforms like Google Cloud Platform (GCP). With advanced skills in data frameworks such as Apache Spark and MapReduce, and proficiency in programming languages like Java and Python, Sai excels in building and optimizing data pipelines. A strong background in Extract, Transform, Load (ETL) processes enhances Sai's capability in managing and integrating large datasets effectively.