Devin M.

• Provide technical leadership and mentoring to a team of 6 (4 Analytics Engineers + 1 junior Data Engineer); successfully grew two junior engineers into senior/lead roles that led to external promotions. • Own the end-to-end data platform serving the entire company: \~60 third-party sources (low-latency + batch) plus high-volume streaming first-party production data, including significant low-latency pipelines supporting operations. • Designed and operationalized real-time streaming data models on Snowflake + Kafka, enabling fresher insights and new capabilities for both analytics and operational use cases. • Led complete re-implementation and migration of business-critical SaaS integrations (HRIS, Finance, and others), improving maintainability and reducing technical debt. • Drove data team AI adoption: organization-wide Copilot rollout and Snowflake Cortex LLM integration into production dbt pipelines for enrichment, labeling, and sentiment analysis. Built agentic workflows for data quality troubleshooting and monitoring, delivering measurable productivity gains. • Own and support \~6 production ML models via dbt + Snowpark as part of the broader data platform.

• Reduced annual AWS spend by \~$100K in the first year through targeted optimization and right-sizing. • Cut ETL pipeline failures by \~80% while migrating all custom ETL to fully Dockerized, reproducible execution environments. • Improved dbt transform performance by \~75% through modeling improvements, incremental builds, and process changes. • Established robust CI/CD pipelines for Airflow and Python ETL repositories, moving from manual, untested deploys to automated, reliable releases.

• Jumpstarted data practice at early stage labor-tech startup. • Created flexible, fully de-identified dataset pipeline and tooling for engineering team local development. • Automated all internal reporting in first three months utilizing serverless AWS offerings and opensource visualization tools. • Rewrote and helped re-architect core product matching algorithm using lightgbm, sklearn, docker, AWS Lambda/ECR/ECS with 40% improved efficiency. • Stood up S3/Athena based initial data warehouse. • Full responsibility for SaaS client data integrations. • Contributed to SWE work via JS PRs to core product, authoring RESTful NLP API for spinoff product, internal data modelling and governance consultation.

• Managed project teams for multiple data products throughout life cycle. • Built first KYStats machine learning based product, using R, igraph, unsupervised learning and Tableau for the GIS-based network visualization. • Developed in-house replacement for $65k/yr data subscriptions, using R and open data sets. • Led adoption of R as a common language, version control via git and code review by research team. • Mentored colleagues on project management in git, reproducible analysis, functional programming, visualization and R. • Key individual contributor on many of KYStats' core data products, including analysis and modeling in R, data engineering with SQL Server 17/Machine Learning Services, visualization in ggplot2 and Tableau and presentations at a variety of national conferences.

• Selected as Data Fellow for the highly competitive Strategic Data Project Fellowship. • Placed as Data Scientist at leading State Longitudinal Data System, KYStats. • Mentored fellow-Fellows in R and Tableau.

• Product validation and data analysis/visualization for private, public and NPO clients using R, ggplot2 and VBA. • Automation of numerous data processes and reports with R, knitr and VBA, resulting in substantial human capital efficiencies for clients. • Redeveloped and expanded engagement with majority of clients. • Integrated and analyzed data from numerous legacy systems including PostgreSQL, Powerschool, SQL Server, a variety of proprietary LMS and SIS and open datasets.

• Administrator responsible for data aggregation, analysis, policy and student behavior intervention. • Automated school-wide grade, attendance, discipline and enrollment data aggregation and reporting using a combination of R and VBA. • Designed and implemented web-based student behavior referral and follow-up system using Google Apps for Ed scripting and automated email notifications. • Conducted continual whole-staff professional development for data use in classroom management and instruction.

• Authored data utilization section for School Improvement Grant which resulted in $3M award. • Designed and implemented school level, intervention data reconciliation and utilization system using online surveys, SIS data, SQL and VBA. • Sys. admin for SQL based qualitative student behavior data management system, including account management and report writing. • Maintained complex, reconciled data set for student body with 71% mobility rate on continual basis.