Experience

Pioneer in Data as a Service to Cities and Utilities

Engagement Set strategy and roadmap for successful launch of fully managed data lake, data warehouse, BI and prediction as a service offering using AWS, Snowflake, Python, Looker as fully integrated solution

Engagement: For one of the United States top 15 largest cities, modeled snowflake warehouse and implemented Integrated silos of data from Billing Systems, Asset Management, SCADA, Weather, GEO, Customer Service and Utility Intervals. Built departmental dashboards and visualization. Enables ad-hoc analysis for data analysis of customer. Successfully creating core dashboards all managers use daily. Continue to maintain and support daily

Engagement: For one of the United States top 150 largest cities, modeled snowflake warehouse and implemented Integrated silos of data from Billing Systems, Asset Management, SCADA, Weather, GEO, Customer Service and Utility Intervals. Built departmental dashboards and visualization. Enables ad-hoc analysis for data analysis of customer. Successfully creating core dashboards all managers use daily. Continue to maintain and support daily

SAS MultiUnit Property Net Solar billing provider

Engagement: Developed the roadmap and mentored data engineering team in modern techniques and technology choices to streamline and operate a data engineering department effectively. Results in a scalable team and data platform that will grow gracefully, be supportable by less people and be easy for new people to adopt. Business end users are enabled with adhoc reporting and data scientists with standardized building blocks of clean data.

Modular waste water treatment facility manufacturer and operator

Engagement: Implemented IOT data capture and analysis on modular waste water treatment plants from all monitoring sensors at remote customer sites. Ongoing daily management of data processes and availability for data at 3 second resolution and over 1 billion data points annually. Created and manage data lake, data warehouse, all pipelines and BI for centralized trouble shooting, reporting and analytics. and machine learning and control. Enables a small staff to manage numerous site and deploy new sites with minimal effort to add to network.