New York City Metropolitan Area
Built teams that provided both software and hosting of a service based data platform across all functional areas, offering consistent experience for clients ranging from Quants to Operations. This simple path for exposing data enabled a transformation in how information was shared and leveraged across teams and disciplines. Data pipelines to ingest, transform, analyze, and serve up time series milestoned data sets were then built on this framework to drive adoption.
• Delivered a multi-language (Java, Python, C#/Excel) business agnostic platform with cataloged APIs and feeds (gRPC, Parquet). Teams could publish new data sets within hours, enabling business to rapidly iterate.
• Runtime was elastic (k8s hosted on & off prem) with code in a monorepo, reducing fixed costs and integrated with vendor tools and open source (e.g. Jupyter, BeakerX, DataDog).