Detail-oriented software engineer with extensive experience in data science and data engineering.
Interested in opportunities to bring simple and elegant solutions to complex problems.

Professional Experience

Teampay: Senior Engineer
Remote: August 2022 - March 2023

Member of the Product Engineering team with a focus on the customer administration experience.

• Built the AI-based implementation of an automated Accounts Payable platform
• Developed an automated bulk receipt download service, saving an estimated two hours of combined customer service and engineering time per request
• Conducted numerous code and architecture reviews across backend engineering teams

Coiled: Software Engineer
Remote: September 2021 - May 2022

Member of the Platform Engineering team creating scalable Dask deployments.

• Developed a new pricing model with a focus on reliability, auditability, and transparency; designed and deployed migration to new model with no customer downtime
• Built the backend API and frontend design for the creation of deployment independent user-facing notifications
• Designed and implemented automated testing framework for product integration with Stripe API

The Urban Institute: Lead Data Engineer
Washington, DC: August 2017 - September 2021

Member of the Data Science team with a focus on providing expertise in data engineering, web application development, and open source contributions to evidence-based policymaking.

• Built and maintained numerous Django web applications and APIs for internal and external projects
• Developed performant software packages in Python and R (including r-universe and CRAN)
• Managed cloud infrastructure and budget for the Data Science team
• Oversaw team quality assurance efforts, including best practices for data quality, agile software development, test-driven development, and code reviews

The Pew Charitable Trusts: Research Associate, Election Initiatives
Washington, DC: November 2014 - August 2017

• Programmer for the Elections Performance Index (now at MIT) and the Voting Information Project

Programming Languages & Frameworks

Advanced knowledge of:

• Python
  • Web Applications: Django, Django REST, Celery
  • PyData: pandas, numpy, pySpark, Great Expectations, Prefect
• R: tidyverse, data.table, R Markdown, R Shiny, sparklyr, testthat

Professional familiarity with:

• Java, Rust, TypeScript, React, Node.js

Technologies

• Amazon Web Services: EC2, EMR, Lambda, S3, RDS, DynamoDB, Athena, CloudFormation
• CI/CD: CodeShip, CircleCI, GitLab CI/CD, Travis CI, Bamboo
• Containerization: docker, docker-compose, rancher
• Cloudera Data Platform: Data Hub, Data Warehouse, Workload Manager, CDP CLI
• Databases: MySQL, Postgres, Redis, Impala

Education

Columbia University
M.A., Quantitative Methods in the Social Sciences

University of California, Los Angeles
B.A., Political Science