Anand Sharma is a seasoned software engineer with over 14 years of experience in project management, solution engineering, and architecture design in the business intelligence domain. Mr. Sharma has an extensive background in architecting distributed data pipelines and leveraging big data technologies to modernize traditional data warehouse ETL workflows. His experience covers a wide gamut of technology stacks ranging from RDBMS like Oracle and SQL Server to NoSQL systems like MongoDB and Cosmos DB. He has deep expertise in Spark Architecture and Data Frames, with proficiency in technologies like Azure Data Factory, Tableau, Databricks, Snowflake (DBT), and Azure Data-lake. In addition, Mr. Sharma has a proven track record of creating CICD pipelines to reduce deployment timescales by a factor of 10 while promoting cross-team collaboration and communication.

Mr. Sharma has broad educational credentials that include a BA in Political Science from Delhi University and a Post Graduate Diploma in Computer Applications from the Centre for Development of Advanced Computing.

He has worked for several prestigious organizations, including Cerner Corporation, IGATE, HCL Technologies, Wipro Technologies, Sapient, and CDAC. Mr. Sharma has demonstrated experience in scoping, estimating workload, resource profiling, gathering business requirements, and managing global delivery projects involving teams of 3 to 20 people in virtual contexts.