Full stack development of an algorithmic trading system. Designed ETL pipeline that ingest market, fundamental, and alternative dataset in real-time. Increased algorithm backtest throughput by 6X order of magnitude, which reduced novel trading strategy go-to-market time by over 20X. Designed and scaled on-prem and cloud-native infrastructure.Languages: C#, Python, SQLStack: Windows Server, Azure, Kubernetes, Docker, Helm, git, Linux/Unix, PowerShell

Support and maintenance of existing ETL processes in SQL and C# applicationsContainerization of C# applicationsAutomation of CI / CD workflows via Azure Pipelines and Azure DevOps
Automation of cloud (Azure) resources via deployment templates (ARM) and Helm
Development of cloud-native (Azure) components used to trigger or augment existing ETL pipelinesContainerization of backing OLTP database (SQL Server)
Enhancements to logging and monitoring via Prometheus and Grafana
Development of net-new application using test driven development (achieved 88% code coverage)Languages: C#, SQL, PowerShell, Azure ARM templates (JSON)Stack: MS SQL Server, Windows, Linux, Kubernetes, Helm, Docker, Azure, Azure DevOps,

Design, review, and run manual user acceptance tests.Design and implement automated user acceptance tests.Perform full-application regression tests on quarterly release cycle.50% decrease in defect creation YoY.97% decrease in defect regression YoY.Managed and maintained multiple QA environments. Languages: C#, SQLStack: MS SQL Server, Windows, Microsoft UI Automation Test Framework, VMWare ESX Server