● Implemented microservice architecture using Docker containers and Kubernetes clusters with C# and PostgresSQL for a patient-provider appointment system, resulting in improved scalability and performance.● Developed a process to efficiently organize and filter incoming provider free time messages, reducing concurrent or outdated messages from upstream sources.● Streamlined patient data handling in NServiceBus sagas, eliminating thousands of lines of unnecessary code and improving system efficiency.● Enhanced the robustness of code for pulling provider workdate data by implementing better logging and cross-checking, resulting in a 5% reduction in irrelevant and duplicate messages.● Created a reusable NuGet package for setting up background services for monitoring and cleaning, saving approximately 8-10 hours per process by preemptively managing data and preventing overflow issues.● Utilized LaunchDarkly feature flags to enable controlled code releases, allowing for "soft launches" in production that could be coordinated with other teams.● Acquired metrics/logs via Kibanalogs, Azure Server Monitor, and newRelic to accurately troubleshoot problems and determine performance gains● Designed and implemented Kafka listeners to handle patient data messages, contributing to a system overhaul that improved accuracy in patient dialing, increasing success rates by 20-30%.● Developed SQL scripts for importing patient data into Snowflake, Postgres, and MS SQL databases, facilitating system enhancements for faster patient dialing and improved success rates.

● Developed a dynamic UI-driven error handling framework (C#) for ETL processes, resulting in a 20% reduction in job failures. Follow-up dataflows were able to correct missing or invalid data automatically.● Implemented a versioning system (C#) for ETL pipelines, reducing errors by 5% by providing visibility into changes and enabling easy fixes for incorrect modifications.● Enhanced the efficiency and user-friendliness of pre-run inputs in the pipeline by around 5% (HTML, CSS, TypeScript, C#, SQL), improving speed and usability.● Implemented input validation rules for a UI by leveraging an Excel spreadsheet, ensuring data integrity and preventing incorrect data entries (TypeScript, C#).● Optimized accuracy and performance of a document parsing tool (C#), resulting in improved parsing efficiency and more reliable results.● Managed the creation of a system that consolidated 8 different data sources into an Excel spreadsheet used for reconciling account ledgers. This automation reduced the time required for the task from 2-4 hours per person to just 30 minutes to an hour per person.● Developed a system for estimating policy transactions based on changing fund allocations and pricings, reducing the time required for the activity from 2-4 hours by hand per person to just 30 minutes to an hour per person

● Developed VB.NET tools to map and optimize SQL queries at multiple sites, resulting in improved query performance and proper indexing of tables across various states and countries.● Created a customized VB.NET process for communicating via IBM MQ Messaging allowing the motor vehicle titling unit on the legacy system to know the latest data on drivers credentialed on the new system and vice-versa.● Coordinated the network communication setup between the RMV and the American Association of Motor Vehicle Administrators (AAMVA) through private lines and web services. This interface allows for seamless retrieval/uploading of vehicle/owner credential information so the RMV can confirm registration information, as well as check for fraud, or prior violations● Implemented Active/Active/Active and Active/Passive/Passive SQL Server clusters, enhancing system availability by providing alternative options in case of server failures.● Configured High Availability Groups (HAGs) with database mirroring for Production and code repository environments. This setup ensured uninterrupted service and smooth data exchange in the event of a main database failure.

● Contributed to the development and C# coding of the Structured Data Capture Standard for Meaningful Use, ensuring compliance with industry standards and regulations.● Leveraged Mumps and Cache to automate the determination of patient infection status based on lab results, improving efficiency and accuracy in infection tracking.● Spearheaded an overhaul of the filing code for Incoming Instrument Results, resulting in a 10% acceleration in data collection for users and streamlining processes.● Played a key role in testing and coordinating system integration between internal and external resources during a critical system installation. This enabled seamless functionality, including the use of fetal monitors and obtaining image results for radiology/cardiology.● Successfully installed 40 interfaces crucial to clinical ordering, results, and scheduling visits, ensuring the smooth operation of clinical workflows.

Drafted System testing documents for the ISS-RapidScat project- installed in September/October 2014 on the ISSCreated working copies of presentations used to create and ratify decision points thermal/electrical systemsWrote initial passes for exceptions to spaceflight cargo regulations for the ISS-RapidScat