During my job role at virtusa, I expertise in integrating various data sources SQL and NoSQL to deliver clean and reliable datasets for reporting and analysis. Also designed, built, and maintained data warehouses using technologies like SQL Server, and Google BigQuery. Assisted by senior analysts for implementation of Power BI dashboards to visualize key business metrics such as sales performance, customer engagement. In my experience, I have worked with databases of varying sizes, including some particularly large-scale systems. During my time as a third-party contractor working for Google for a year, I had the opportunity to work with databases handling significant volumes of data and high transaction rates. Specifically, I was involved in optimizing and managing large Oracle SQL and Microsoft T-SQL databases that processed millions of transactions per second. The largest database I worked with had several terabytes of data and was designed to support a global scale of operations for Google. This involved working with complex queries, implementing partitioning strategies, and optimizing performance to handle the high transaction throughput without compromising speed or reliability. My role included ensuring database availability, creating efficient queries, and working with PL/SQL and T-SQL to build stored procedures that could handle complex business logic efficiently. The database systems required careful monitoring to ensure high availability and fault tolerance, as well as tuning to ensure minimal downtime and fast response times for both transactional and analytical queries.…During my job role at virtusa, I expertise in integrating various data sources SQL and NoSQL to deliver clean and reliable datasets for reporting and analysis. Also designed, built, and maintained data warehouses using technologies like SQL Server, and Google BigQuery. Assisted by senior analysts for implementation of Power BI dashboards to visualize key business metrics such as sales performance, customer engagement. In my experience, I have worked with databases of varying sizes, including some particularly large-scale systems. During my time as a third-party contractor working for Google for a year, I had the opportunity to work with databases handling significant volumes of data and high transaction rates. Specifically, I was involved in optimizing and managing large Oracle SQL and Microsoft T-SQL databases that processed millions of transactions per second. The largest database I worked with had several terabytes of data and was designed to support a global scale of operations for Google. This involved working with complex queries, implementing partitioning strategies, and optimizing performance to handle the high transaction throughput without compromising speed or reliability. My role included ensuring database availability, creating efficient queries, and working with PL/SQL and T-SQL to build stored procedures that could handle complex business logic efficiently. The database systems required careful monitoring to ensure high availability and fault tolerance, as well as tuning to ensure minimal downtime and fast response times for both transactional and analytical queries.WWWW…