Blake Carroll Email & Phone Number

Columbia, Md, Us

- Delivered server-side features and produced clean, scalable code in NASL and SQL; reviewed engine code in C/C++.- Integrated Nessus with 3rd-party APIs (e.g., HashiCorp Vault, CyberArk, BeyondTrust) using Wireshark, enhancing vulnerability detection with 100% data accuracy.- Collaborated with fortune 500 customers to design solutions that meet complex technical requirements.- Managed virtual machine deployments using VMware vSphere, ensuring seamless integration and troubleshooting.- Refactored codebase for scalability and efficiency, reducing error rate.- Conducted frequent UI enhancements, improving dynamic content updates.- Achieved over 75% code coverage through unit, regression, and functional testing.- Led peer code reviews to maintain adherence to standards and best practices.

Columbia, Md, Us

Baltimore, Md, Us

• Developed a robust data model using SQL Server and PostgreSQL. Integrated data cleaning, normalization, partitioning, and queryoptimization to achieve a high database query completion rate. Decoded legacy systems using ILSpy to view C# source code,applying reverse engineering techniques to enhance understanding and create auxiliary processes.• Developed data pipelines from multiple sources to a centralized warehouse utilizing Spark. Orchestrated workflows with ApacheAirflow, ensuring consistent data delivery. Implemented an automated reporting system for organ transplant statistics usingPostgreSQL, integrating Python Pandas, and enhancing reporting in Tableau and Power BI.• Completed migration of data from a legacy system to Epic Phoenix by reverse engineering to comprehend frontend and backendrelationships, data model, schema, and storage process. Enhanced overall system efficiency. Collaborated with senior leadership tobridge transplant data gaps and deliver detailed trend analysis employing rigorous data collection methodologies and advancedanalytical techniques.

San Francisco, California, Us

• Developed software applications to manage single family rental and fix & flip housing collateral data, achieving calculations forweekly fundings, prepayments, portfolio concentrations, triggers, and monthly payment waterfalls as mandated by a specific CreditFacility and Loan Agreement.• Engineered an ETL process using automated Python scripts for data file preprocessing normalization, importing data fromnormalized to database storage within SQL Server for the ingestion of high-volume mortgage loan/collateral data, employing datacleaning, normalization, partitioning, calculations, and aggregation to ensure an optimized data flow.

Mclean, Va, Us

Washington, Dc, Us

Baltimore, Md, Us

Reisterstown, Maryland, Us