Stephen Mele
Principal Developer at FINRA
Olney, Maryland, United States
Summary
👤
Senior🎓
Top SchoolStephen Mele is a Principal Developer with 12 years at FINRA, specializing in full-stack and containerized applications on AWS while leading DevOps-focused product teams. He transitioned from a strong SDET and automation background—building Java-based test frameworks, API and integration testing, and SQL-backed validation—to architecting scalable developer tooling and production services. At FINRA he progressed through roles from Automation Developer to Lead and now Principal Developer, driving productivity improvements by automating manual workflows and improving data-processing libraries such as a Java DataGenerator with map/reduce enhancements. Based in Olney, MD, he blends hands-on backend contributions with systems-level thinking and a preference for building rather than testing roles. An understated strength is his ability to translate rigorous testing discipline into robust, maintainable production code and developer platforms.
12 years of coding experience
13 years of employment as a software developer
Associate of Arts (A.A.) Business Administration and Management General, Associate of Arts (A.A.) Business Administration and Management General at Montgomery CollegeBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Maryland
Github Skills (10)
data-generation10
javas10
hadoop-mapreduce10
mapreduce10
hadoop10
java10
cli9
command-line9
commons9
command-line-interface9
Programming languages (5)
Github contributions (5)
FINRAOS/DataGenerator
Jan 2014 - Dec 2014
DataGenerator is a Java library for systematically producing large volumes of data. DataGenerator frames data production as a modeling problem, with a user providing a model of dependencies among variables and the library traversing the model to produce relevant data sets.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits in 10 months
Contributions summary:Stephen primarily contributed to the Java-based data generation library, focusing on expanding existing code samples. Their work involved integrating map/reduce functionality, suggesting a focus on improving the library's ability to handle large datasets. They also refactored and updated code, including renaming classes and modifying the command-line interface, which indicates efforts to maintain and improve the project's structure and usability. These changes also involve core functionalities, like setting the maximum number of scenarios and integrating the reporting functionalities.
data-framesdependenciesdata-setsvolumesjava-library
SMxJrz/Gatekeeper
Apr 2018 - Feb 2023
Manage temporary access to EC2 and RDS resources in AWS
Contributions:7 releases, 220 pushes, 79 branches in 4 years 10 months
ecsec2rdsterraformaws
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