• Worked on a team that manages the companies data storage layer holding 30PB of biotech research data that is utilized by an upward of 45,000 researchers

• Designed and built a new system for notifying customers about their usage limit status

• Frequently worked on MongoDB query performance tuning on a Mongo cluster with tens of terabytes of data

• Spec’d and implemented a new system which allows customers to visualize and analyze their billable usage over time

• Worked closely with Product on design, project timelines, and planning

• Acted as engineering lead on multiple projects

• Implementation and maintenance of numerous endpoints on the company’s primary API service which handles over 200 million requests a day.

• Updated legacy style cron services to use Dockerized lambdas triggered by Eventbridge rules

• Refactored legacy code to modern async await patterns instead of antiquated async libraries

• Leveraged Terraform, Lambda and other AWS services to build new microservices

• Managed observability across multiple different tools such as Prometheus, Grafana, Splunk, and CloudWatch

• Worked with engineering team to manage data ingestion including data validation and file format validation

• Standardized data warehouse documentation for a better end user experience

• Managed migrating 58 courts to new data warehouse version to ensure all courts are in compliance with new data entry procedures

• Organized data input documentations for multiple formats including XML, CSV, and ASC

• Leveraged SQL and STATA to compare courts historical data and ensure consistency

• Use Tableau and PowerBI to generate visualizations of historical data for consumption by courts

• Liaised between courts and engineering team to guarantee the needs of the end user are met

• Performed manual QA testing to validate quality of engineering team releases

• Managed UAT with courts to ensure successful release

• Monitored end user technical complaints and worked with engineering team to provide them with actionable tasks

• Communicated business decisions to stakeholding courts

• Documented unique processes around pulling, processing, auditing, and reporting data for each race track platform

• Leveraged SQL to analyze gambling data and ensure compliance with strict federal anti-money laundering regulations

• Performed manual QA testing to validate quality of engineering team releases

• Defined new and enhanced features for the engineering team to improve efficiency of in-house data interface tooling