* Developed internal Python tooling to automate Terraform/ Terragrunt actions allowing TechOps team to dramatically increase IaC coverage across AWS, CloudFlare, and GitHub

* Built out CloudFlare management suite from scratch allowing us to fully manage 5 CloudFlare zones with Terraform

* Ported IAM management stack from CloudFormation to Terragrunt, reducing daily deploy times from ~15 minutes to ~15 seconds

* Architected and deployed AWS Lambda functions to automate developer workflows and increase security

* Worked alongside developers to create and debug AWS CodePipelines to deploy blockchain nodes to production

* Responded to daily requests from developers to review and deploy code to production, adding best practices and raising security concerns as needed

* As team expanded interviewed new candidates and helped train new employees on company practices

* Used AWS CloudFormation to create and manage AWS ECS Tasks and Services to run core infrastructure for the company

* Debugged and deployed Docker files to ensure compliance with best security practices for deploying IaC, preventing engineers from keeping sensitive credentials in their terminal environments

* Designed and implemented ETL pipelines to process trade and corporate action data generated from Liberty Mutual Investments into data warehouse platform, enabling data scientist and analysts to have stronger data to for performance analysis and forecasting

* Refactored legacy Python code to integrate AWS S3, RDS, and Lambda instead of on on-prem resources

* Utilized Jenkins and AWS CloudFormation to create automatically building CI/CD pipelines that ran unit test and managed sensitive credentials to ensure security and stability of code base

* Automated and enhanced client reporting and portfolio analysis tasks using Microsoft Excel macros and R, including a project that automated peer analysis of competing investment strategies by leveraging the Bloomberg Terminal API

* Created web app using RShiny and ggplot2 in order to improve analysis and visualizations of stock returns relative to the company's proprietary quantitative risk model