L May is a Senior Data Engineer with eight years of experience building modern data platforms across logistics, insurance, marketing, and health research. Comfortable across Python, SQL, R, Scala, Spark, Dagster/Airflow, dbt and infrastructure-as-code, they design and operate ETL/ELT pipelines and cloud-native analytics stacks on AWS/GCP. They’ve moved legacy on-prem systems to hybrid cloud, deployed open-source orchestration on VPCs with CI/CD, and owned trusted data sets that power business decisions. At Michigan Medicine they led a data core and shifted research workflows from spreadsheets to automated pipelines and reproducible apps, blending technical delivery with domain-focused governance. Recent roles at Beam Benefits, Easy Metrics, and Mimecast highlight a pattern of shipping reliable data infrastructure for both product and research use cases. With an MA in Linguistics and experience in IRT and automated test assembly, they bring a quantitative, systems-oriented mindset that bridges measurement theory and production data engineering.
8 years of coding experience
7 years of employment as a software developer
BA Italian, BA Italian at Indiana University Bloomington
MA Linguistics, MA Linguistics at University of Illinois Chicago
Nanodegree Data Engineering, Nanodegree Data Engineering at Udacity
R Shiny dashboard to help keep track of individual participant study progress
Contributions:8 PRs, 27 pushes, 2 branches in 2 years
individualkeepshinyparticipantshiny-r
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