Gaurav Sharma
About Gaurav Sharma
Gaurav Sharma is the Data Engineering Lead (Principal) at Premera Blue Cross, with extensive experience in data engineering and business intelligence across various companies in the United States.
Title and Current Role
Gaurav Sharma holds the position of Data Engineering Lead (Principal) at Premera Blue Cross. He has been serving in this role since 2017, operating out of Mountlake Terrace, Washington, United States. His responsibilities involve developing RAML specifications, API documentation, and reusable exchange components, taking continuous feedback from the end user community to refine these elements.
Professional Background
Gaurav Sharma has extensive industry experience, with previous roles including Principal Data Engineer at Walt Disney Television and Senior Data Warehouse Engineer at Amazon and Kaiser Permanente in 2017. Earlier, he was a Big Data Consultant with Swisslog Healthcare and Megode Systems, among others. His career also features significant roles at Starbucks, Expedia, Tata Consultancy Services, Zulily, Inviso, eFinancial, and Motricity, spanning from 2010 to 2017 in various data-centric positions.
Education and Expertise
Gaurav Sharma studied Instrumentation and Control at Netaji Subhas Institute of Technology, earning a Bachelor of Engineering (BE) degree from 1996 to 2000. His professional expertise includes developing automation code using PowerShell for SQL deployments and building command-line interfaces for common database operations. He has also been involved in vendor analysis and design for cloud migration of enterprise data warehouses.
Key Projects and Initiatives
Gaurav Sharma has played a critical role in various projects, including the creation of robust data pipelines for the Enterprise Data Lake and standard datasets at different levels such as Member, Provider, and Claims. He also led the development of an Enterprise Performance Dashboard using Tableau, which sourced data directly from extracts within the Enterprise Data Warehouse distribution layer. His contributions have streamlined data operations and enhanced performance metrics at multiple organizations.