Ryan Riopelle is a seasoned data engineer and AI/ML leader with 10+ years of experience designing cloud-native, compliant data platforms for aviation, defense, fintech, and SaaS. He led Southwest Airlines’ digital transformation, cutting ETL and voucher-processing latency by 80% to enable real-time analytics across 225,000+ flights annually, and has a track record of building low-latency ML infrastructures for mission-critical systems. Comfortable across the stack, he combines expertise in LangChain, Kafka/Spark pipelines, Kubernetes, Snowflake/DBT, and model deployment to production with strong security and compliance (NIST SP 800-171) practices. Ryan excels at translating business needs into measurable outcomes by empowering high-performance teams and driving cross-functional collaboration. He pairs an MS in Data Science & Engineering and multiple cloud/ML certifications with ongoing MBA studies at UCLA Anderson, signaling a blend of technical depth and strategic leadership. A pragmatic contributor to tooling and orchestration (including work with Dagster) he favors production-ready, auditable solutions over academic prototypes.
10 years of coding experience
5 years of employment as a software developer
Master of Business Administration - MBA Candidate, Master of Business Administration - MBA Candidate at UCLA Anderson School of Management
University of California, San Diego
Minor Engineering Management, Minor Engineering Management at University of Colorado Boulder
Contributions:25 commits, 2 PRs, 26 pushes in 7 months
data-analysispythondatadata-sciencewildfire
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