> Analyzed, architected, refactored, evangelized and developed mission critical components to the legacy V1 application that allowed V2 update to ship within three months of starting> Implemented and delivered key refactorings of performance, security, scalability and logging, that led to several accounts being closed> Implemented cloud-based, microservice oriented, devops automation framework (builds, tests, trials)> Led dev team and field engineering team (15 members) to devops success, with happy customers> Worked as part of an Agile team on all aspects of the SDLC> Python, Postgres, DigitalOcean, Azure, Docker, Vagrant, Ansible, Terraform, Consul, Cypress, Jenkins

> Architected, developed, implemented and evangelized internet-scale, hybrid data lake and data processing pipelines to serve as the backbone for the next generation of data operations at DI.> Architected, developed, implemented and evangelized DataOps pipelines for several high value products using modern microservice patterns, task-based processing, micro-batching and Devops techniques.> Initial usage of the system performed ~2 man-years of work in 5 days, setting the foundation for a radical uptick in data throughput> Architected and developed algorithms for data forensics and data manufacturing> Cross-functional team lead of ~30 individuals> AWS, Kafka, Python, Golang, Hashi-stack (Nomad, Consul), Airflow, Postgres, DataOps, EngOps

> Responsible for gathering requirements, architecting, implementing and documenting enterprise, modular, asynchronous, service-oriented, GIS Silverlight and WPF applications.> Worked with Agile and Waterfall teams on all tiers of development and SDLC.> Technologies used: C#, .NET 4.0-4.5, ASP MVC, SQL Server, Silverlight, WPF, MVVM, WCF, OData, RIA Services, REST, SOAP, JSON, Telerik, Infragistics, TFS, IIS 7.5, Rally, MongoDB, Hadoop/HDP

> Architected, developed, deployed, documented and supported client-server applications, WPF applications and Winform applications with the development team.> Developed algorithms in C# and TSQL to process data from large datasets.> Aggregated data and created visualizations for analysis.> Performed internal and external technical training and support sessions.> Technologies Used: .NET 2.0-4.0, WPF, XAML, SVN, IIS 6/7, VS 2005-2010, TFS, TSQL, SQL Server 2005/2008/R2