Roland Carignan is a Data Architect with nine years of experience building data platforms and guiding cross-functional teams, currently shaping data strategy at Finalsite after multiple roles at the Bureau of the Fiscal Service. He blends software engineering and data science expertise—Python, Java, SQL, Spark, Databricks—and practical skills in CI/CD, containerization, and cloud security to turn messy, poorly documented datasets into reliable, governed analytics. Roland has a track record of mentorship and community building, having led Data University sessions, contributed to a Data Quality whitepaper, and served as a voting Data Steward to improve data governance. He combines formal training (MS in Computational Analytics from Georgia Tech) with hands-on legacy system experience (mainframe Cobol/DB2) and has automated processes that saved teams 10–15 hours weekly, reflecting a knack for pragmatic automation and measurable impact.
9 years of coding experience
5 years of employment as a software developer
Master's degree Computational Analytics, Master's degree Computational Analytics at Georgia Institute of Technology
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at State University of New York at Plattsburgh
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