Carlos Quicano is a data engineer with 11 years of experience building predictive models, ETL pipelines, and analytics platforms across SQL Server, Google Cloud, and AWS. He has led migrations from on-prem SQL Server to cloud-native stacks (Glue, Lambda, Athena, Redshift, BigQuery) and improved development and QA processes for analytics and AI teams. Comfortable in both hands-on engineering and team growth, he established hiring standards, onboarded contractors, and mentors junior engineers. Carlos blends strong SQL and Python expertise with practical machine learning experience and a history of query and performance optimization. Based in Fort Mill, SC, he pairs a software engineering degree from the University of Florida with a pragmatic focus on efficient, maintainable code. He’s quietly driven by curiosity—continuously exploring how data can inform decisions and solve everyday problems.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Computer Software Engineering, Bachelor of Science (BSc), Computer Software Engineering at University of Florida
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