Member of PVC (Portfolio Value Creation) Team within CPP Investments where I work to identify, scope and deliver analytic models to improve portfolio company performance.Lead effort to explore, understand and wrangle disparate datasets into optimal data pipelines and databases that feed a variety of analytical models, whether to accelerate porfolio company performance or to support internal investing purposes.Collaborate closely with data stakeholders at porfolio companies to secure data, ensure scalable infrastructure and tooling.Mentor and project manage junior data engineers, setting project plans and leading problem solving sessions.Ensure strong discipline of documentation and library development to help scale projects and reduce knowledge transfer time.

Data Engineering Lead on client projects, helping to model their data landscape, obtain data extracts and define secure data integration approaches.Acquire, ingest, and process data from multiple sources and systems into Big Data platforms.Create and manage data environments in the Cloud.Collaborate with data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.Drive Information Security principles to ensure compliant handling and management of client data.Build client capabilities with vision of creating sustained impact.

Scaled BI organization comprised of data engineers and report developers to support company analytics platform, customer reporting and data services for downstream jobs and consumers.Drove development of automation systems to improve team’s performance and productivity, reducing defect rate by 50% and speeding delivery of new features by 100% from 2 weeks to 1 week.Defined monitors and alerts to enable 24-hour support of analytic platform, increasing overall availability of services without additional resources.Served as intermediary between development and customer-facing organizations in order to design scalable reporting solutions and support delivery of non-standard data products.Responsible for design, build out and management of data warehouse and ETL processes. Defined and stewarded all processes to integrate data between upstream application stack, external data sources, and “Data Services” environment in support of predictive analytics and machine learning processes.Led development of new analytic products using machine learning techniques backed by Hadoop and PySpark.Supported build out of clustered computing platform to support deep-learning initiatives, increasing immediate revenue by 10%.Owned and managed customer-facing reporting solution consisting of dashboards, on-demand reports, and APIs.Evolved reporting solution from standalone to self-service, leading to 20% incremental revenue and 25% reduction in customer attrition.Designed and implemented configurable system to set to facilitate exchange and integration of large datasets, allow for customer-level customization, maximize customer engagement and facilitate subscription renewals.Defined core set of data visualizations and process for building custom interactive dashboards to reduce cost of serving subscription customers by 25%.

Lead projects to help companies assess technologies and provide strategic recommendations. Establish and maintain relationships with key technolgy decision makers and architects. Recommendations range from assisting in appropriate design and implementation of enterprise web services to technical staffing requirements of technical delivery organizations.Assist in sales process relating to consulting services as well as company intellectual property in voice analytics.