Developed and maintained an AWS Step Functions ELT pipeline to routinely populate Redshift data warehouse

Orchestrated reverse ETL processes, updating external systems based on data warehouse queries

Designed event-response process to supplement functionality of external systems; sending SMS auto-responses, creating alerts depending on provider licensure, generating PDFs from completed forms

Built out continuous deployment workflows with CircleCI to maintain AWS Infrastructure as Code

Maintained and monitored production systems using Cloudwatch alarms and dashboards

Collaborated with clinical and administrative stakeholders to design interactive Tableau dashboards for improving quality of T1D care, and tracking program results

Developed real-time ADT integration using various AWS tools (API gateway, Lambda, SQS, S3, Secrets manager), responding to patient admissions with cached Random Forest model predictions

Helped transition legacy SFTP server to managed AWS Transfer Service, improving reliability and reducing file transfer time

Performed data ingest of multiple data sources using Apache Spark, including CMS claims, electronic health records, and medical device data

Created various reports using Matplotlib and Plotly, to track process and outcome measures

Designed, trained, and evaluated multiple machine learning models using MLLib and Pytorch to predict a variety of outcomes: behavioral health admissions, SNF discharges, significant A1c increases, and hospice eligibility

Participated in recurring technical journal clubs