Leader: Build teams that leverage excellent data science and software engineering skills to model and analyze diverse client data and optimize the production of narrative reports with the Quill authoring software. Created one of the company's highest performing, driven engineering teams, which consistently delivers above expectations. Incorporated scrum techniques to improve throughput, productivity, and knowledge sharing. Lead a team of 10 data engineers as Line Manager. Encourage each member's personal and professional development and mentor, train, and build them into a cohesive scrum. Recruit, evaluate, and hire top-quality data engineers to foster an environment that builds on the best of both Computer Science and Data Science backgrounds. Architect: Develop use cases, requirements, and user stories from internal and external customers. Work with technical product managers to scope, plan, and realize the products to meet those needs. Research, design, and build services to support data ingestion and processing on AWS using a variety of data stores and frameworks. Drive the reuse and configuration of common data analysis tools to reduce the time required to ingest client's data from weeks to days. Data Expert: Advocate and develop common data analysis toolsets for data ingestion, aggregation, analysis, and modelling to extract deep insights from data beyond the standard business intelligence and visualisation tools. Provide strategic insight regarding data analysis and processing techniques to senior management. Drive productization of data processing to facilitate building a rich, reusable toolset that can scale to support significant user bases. As technical analyst and data consultant, advise a diverse set of clients on their data needs and requirements. Assess and scope the work required to meet client expectations.

Architect the data ingestion and analysis platform for the Narrative Science Quill platform. Develop ELT-driven data aggregation and business intelligence platform to facilitate generation of narrative reports. Apply enterprise integration patterns to client data. Provide technical breakdown and analysis of client's data requirements and capabilities. Identify common data access and analysis patterns required for extracting narrative elements for story creation.Research data processing and analysis technologies and their application to client data. Develop proof of concept social media analysis tools to match conference attendees by their interests at major technology and business conferences. Deploy machines, services and libraries, troubleshoot and respond to support requests from both internal and external clients. Resolve issues ranging from client questions to data center lightning strikes. Lead the data engineering team, providing mentorship and guidance to a team of up to ten data engineers.

My current work is leading the Data and Workload Management development project for the Compact Muon Solenoid Experiment at the Large Hadron Collider, CERN. I lead the CMS Workload Management Group in the Fermilab Computing Sector. Current development projects include python and NoSQL related workload management platforms for grid computing and their extension to the Cloud.

Assessed distribution methods for physics analysis software for a grid processing environment.Implemented scalable solutions for sand-boxing Linux executables for distribution.Evaluated and improved production tools software for both cluster- and user-scale use cases.Maintained distributed computing facilities and grid services required for effective use.

Analyzed the Fermilab CDF Experiment's ability to run distributed data processing in a grid environment.Designed cross-experiment software for grid systems.