Principle Software Engineer with a concentration in Data Technology and Legacy Modernization. Additional experience in Product and Project Management, Technical Writing, and Test Development.

• Improved realtime campaign optimization capabilities by implementing support for multi-sourcing impression / click data from new exchanges (Scala/Storm/Spray).

• •Opened new avenues for research though capturing cookie matches and building facilities to map pixel data with partner data (Spark/Cassandra/HDFS); assisted with research and exploration of new data, providing insight into the contents while identifying ways to improve retrieval.

•• Reduced deployment risk by introducing regression testing for systems built on Spray, Storm, and Spark; improved modularity by developing libraries of operations patterned on host frameworks.

• •Consulted on the architecture of new data and metadata sources, contributing to the layout of schemas, design of services, and optimization of queries.

• •Improved transparency though the design and implementation of a Product Management and Delivery workflow (JIRA); gathered requirements and provided oversight of junior developers.

Lead Developer enhancing firm’s financial instrument metadata ingestion, access, and management platform (Linux / C++).

Developer, Business Analyst, Project Manager, Tech Lead, Product Manager and Field Engineer on Bridgewater’s Equity Market Data Capture, Global Macro Research System, and Signal Generation Platforms.

• Lead a team of seven with the goal of enabling research on a new asset class through the on boarding of new data feeds and prototyping a calculation engine (C#/WCF) for signal generation.

• Scaled the department's next generation bi-temporal datastore (Linux/ProtoBuf/C++) 100x to 20M series, while also supporting additional concurrent users; Enabled self-service deployment for non-admin users of associated management GUI (C#/WPF) and Excel plug-in (COM).

• Improved the quality of signals used for investing by increasing calculation throughput and runtime supportability of the distributed equity calculation engine (ported from VB6 to .NET); reduced time spent by analysts on manual data checks by introducing an automated error checking capability.

• Cut data costs by transitioning price retrieval for securities to Bloomberg Data License while improving performance and stability of the process, eliminating overnight batch processing.

• Improved the quality of signals by reducing the runtime of a critical import process (C#/T-SQL) from two hours to seven minutes, sourcing fresher data and increasing time for validation; also provided a robust, non-destructive method to correct invalid data using overrides.

• Reduced model loading and metric retrieval time for mono-temporal and bi-temporal macro economic data adapters (Java EE/SQL Server) within the firm’s strategic analytics platform.

• Wrote unit tests for several legacy applications (NUnit) and brought them on to the build system (MSBuild/PowerShell) and Continuous Integration server (TeamCity) enabling more agile development and systematic deployment for the change control team.