Designed and developed the new application features and enhancements to the messaging bus and data extraction system. Worked as a member of Data Refinery team, which is responsible to gather and transform the rating information on the www.moodys.com site.
Worked as the sole engineer to reverse engineer and to support the Expected Default Frequency application. Expected Default Frequency is the industry leading credit risk analytics software suite that provides reporting on credit measures.
Designed and developed a custom monitoring tool which is re-used by several other teams. The tool had loosely coupled backend and frontend components. It is used to run reports to verify the validity of the processed data transformations and to generate alerts if the verification failed