Darrell Bullock -

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Work Background

Jefferson HealthSoftware Engineering Consultant

Jul. 2023Philadelphia, Pennsylvania, United StatesPart of the TJUH IS&T Development Team that is responsible for developing web-based systems to support TJUH physicians and employees. • Developed and maintained backend API’s using AWS serverless and Node.js Created full-stack app that handled clinicians’ yearly respirator mask fit test process. Backend stack to handle API’s was Django with PostgreSQL database and frontend was React.js • Integrated vendor-based systems like Pure OHM into React developed system

MathisonSenior Backend Engineer

Mar. 2022 - Mar. 2023New York City Metropolitan AreaPart of a Backend Software Engineering team that is responsible for developing the backend services for an Equity Index tool for employers to measure their DEI (Diversity, Equity and Inclusion) efforts, using Ruby on Rails, GraphQL and PostgreSQL. • Created API endpoints in Ruby on Rails and PostgreSQL to connect to front end • Implemented data pipeline using Domo to connect to internal PostgreSQL databases • Implemented authorization process using Authzed, Ruby on Rails and GraphQL

Einstein Healthcare NetworkSr. Software Engineer/Team Lead

Jul. 1998 - Mar. 2022Greater Philadelphia AreaLead a 4-person in-house software engineering team in all aspects of solution design, development, testing, validation, Implementation and support. Direct projects through all lifecycle phases. Design project plans with scope, milestones, resource requirements and deliverables. • Work closely with team members and end users to build out Einstein Healthcare Network web-based systems using React.js, Node.js, Microsoft SQL Server, MongoDB and Python with Django and Flask. • Implemented servers using AWS EC2 and serverless AWS Lambda functions with Node.js and Python • Created backend API’s using Python with Django to support a React frontend app that handled employees yearly merit increase process. • Built and maintained clinical dashboards for physicians and their departments using React.js, Node.js, and Python. • Implemented servers using AWS EC2 and serverless AWS Lambda functions with Node.js and Python