Expedited development of custom reporting module using rails, sidekiq, librato, and aurora db

Added suite of unit and integration tests to existing application then refactored critical pieces to improve readability/maintainability and eliminate edge-cases.

Wrote api to facilitate connection of the reporting module to other services and created UI for clients to customize and schedule the reports they needed.

In order to improve internal efficiency and facilitate our CS and Analyst teams, I created a tool that functioned as a hub for all our internally facing services. Our teams needed one place to access custom integrations and reporting, metrics and troubleshooting tools, as well as a secure way to interact with sensitive client data.

Coordinated with many different teams to get all the service oriented internal APIs spec'd and built to connect to the hub built with rails, rabbitmq, and several monitoring/metrics services.

This tool, which started as a side project, led to $19K in one time revenue and currently supports over $70K in monthly recurring revenue (MRR).

Designed communication paths between several databases (Mongo, Dynamo, Aurora, MySQL, PG, ES) and our data warehouse solution Redshift including writing the necessary DDLs and ETLs.

Redesigned several database tables in Redshift and Aurora to facilitate new or improved services.

Wrote a series of python modules and documentation for our internal Data Science and Analyst teams to use for advanced reporting and analytics.

Used Ansible to design and maintain the provisioning and automated deployment processes of two client critical services used for managing scheduled and/or long running tasks

Architected distributed, scaling systems in the Amazon cloud with very simple to use process/workload management, along with full monitoring/metrics and error alerts

Pager Duties and New Relic