Associate Software/Data Engineer - Federal Healthcare​- Collaborated closely with a team of 10 engineers across 3 different workstreams to: execute quality assurance data validations, update SQL stored procedures in response to evolving client requirements and business rules, and craft Python scripts to automate the data validation process further​- Conducted weekly data validation procedures on client records in an enterprise Oracle database utilizing SQL scripts, Linux Bash scripts, and Python scripts​- Developed a Python script to streamline the generation of Excel reports based on validation outcomes, eliminating manual efforts and resulting in a 5-hour/week boost in productivity​Associate Software Engineer - FinTech/Banking​- Developed a RESTful API alongside 3 other engineers using Python and the FastAPI framework to transmit payment data to the client's fraud detection service​- Designed multiple data models for payment and account data to support data validation​- Implemented a data transformation pipeline to convert incoming JSON data into validated data models and transform the data back into JSON format for storage in an AWS S3 bucket​- Successfully integrated best enterprise-level architecture and code testing practices into the project, ensuring the delivery of high-quality software

Contributed to the proof of concept of the design and development of an interactive visualization capability, enabling the Department of Veteran Affairs (VA) leadership to make data-driven decisions and to drive integration across VA's three major modernization and transformation programsImproved internal operational efficiency by automating a manual process of creating GANTT charts and reporting status, allowing for near real-time updates as a “one-stop-shop” for organizational leaders – resulting in a 15-hour productivity savingsDeployed an Azure application through GitHub to host the tool, utilizing Python/Django, JavaScript, and HTML/CSS

- Collaborating with the Crowd Intelligence Lab to discover phishing threats on suspicious e-commerce websites