Go-to engineer for all things airflow. Responsible for creating and maintaining best practices, overseeing contractors working with airflow, and introducing new team members of all levels to airflow concepts. Keep up to date with 3rd party documentation and seminars to make sure we are using the best and latest.Responsible for Python interviews for Machine Learning candidates, as well as the data systems design interview for Data Platform/Analytics Engineer candidates. Developed questions and rubrics for the team and trained other team members on interviewing.Actively involved in getting new team members up to speed on BA processes and local development. Worked with more junior members of the team to coach them on project sizing, development practices, and new technologies.Organized and lead the monthly data eng sync meeting where the entire group (ML and DP) can come together to discuss ongoing projects, solicit feedback before release, and review the roadmap as set out by the director and project manager.Created documentation on testing and local development. Established the best practices and guidelines for airflow code at BA, including hosting knowledge share sessions for teammates and creating documentation. Responsible for bringing contractors up to speed technically on data-airflow, so that their contributions to the codebase are up to our standards. Started initiative to overhaul the data-airflow repo with a goal of eliminating tech debt and setting a better standard for the future; explained and assigned tickets to other engineers in order to expedite the project.Subject matter expert on the data-airflow repo. Understand at a high level the airflow systems and how things work, as well as the functionality of individuals DAGs and tasks, including those I didn’t write myself.

Created and maintained ETL pipelines in Python for ingesting healthcare data for over 300,000 patients and over 2.2 million medical claims managed by the Stellar app. Built healthcare data transformation pipelines in Rhapsody Integration Engine. Collaborated with operations team to create unique, custom integrations for specific customers based on business needs.Created design and architecture of new ETL processes to import additional data types and presented strategy to CTO. Designed and implemented new API endpoints to improve data ingestion efficiency. Cataloged and documented existing ETL infrastructure for better understanding among new team members.Lead engineer on AWS security and best practices. Established process for assigning developer access on an as-needed basis to secure PHI data.

Advised developers and led knowledge transfer sessions surrounding DevOps tooling, including creating Terraform module libraries for use by multiple developer teams across the organization.Consulted with a variety of companies, from small startups to large enterprises, helping them with architecture for cloud infrastructure and devops best practices (cost management, security and compliance), utilizing Agile processes and ceremonies. Collaborated with client stakeholders to develop plans for cloud migration.Designed and implemented features using Node.js for a platform as a service that aids deployment of applications to the cloud.

Served as the first point of contact and face of the university for prospective students and their families.

Worked with senior developers to create and test an interactive web application for use by the military and defense contractors. Assisted senior managers in presenting application to key stakeholders.Collaborated closely with a senior level manager on programming a robot designed for testing the load-bearing capacity of 3D printed objects.