Umair Mesiya is an experienced Solutions Architect at Databricks since December 2024, focusing on the Communications and Media & Entertainment sectors. Previously, as a Customer Engineer in Data and AI at Google from May 2022 to December 2024, Umair supported customers in maximizing their investments in Google Cloud. Prior to Google, Umair held various positions at Slalom, including Principal, where leadership of the Snowflake practice involved end-to-end client support from pre-sales to implementation. Roles at Slalom encompassed various consulting capacities, including developing predictive models and data dashboards. Earlier experiences include work with S&P Global and a startup initiative in the Government of Punjab, contributing to natural language processing and public health strategy, respectively. Educational qualifications include a Master of Science from Columbia Engineering and a Master's in Computer Science from Georgia Institute of Technology.
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