I lead the Data Engineering and Product Analytics team for Amazon Marketing Cloud.Amazon Marketing Cloud (AMC): Where Advertising & Advanced Analytics meets Cloud Computing & Big Data. Amazon Marketing Cloud is a secure, privacy-safe, and dedicated cloud-based environment in which advertisers can easily perform analytics across multiple, pseudonymized data sets to generate aggregated reports. We pioneer the usage of modern full-stack AWS technologies at Amazon scale.Our Data Engineering & BI team builds the data infrastructure for AMC using all native AWS products and services. We leverage engineering best practices, data management fundamentals, data storage principles, and operational excellence best practices to build the next generation Big Data Advertising Analytics solution. We transform the multiple petabytes of data we receive daily into meaningful insights and business intelligence that enable campaign measurement, audience refinement, supply optimization, and more, enabling advertisers to make more informed decisions about their cross-channel marketing investments.

The Business Information and Analytics (BIA) Board of Advisors (Board) for the University of Denver's Daniels College of Business is comprised of industry leaders in Analytics. The Board works closely with the BIA Department Chair, faculty and other Daniels administration to foster relationships and supporting initiatives that advance the University and Daniel's College of Business.The board brings combined industry knowledge to create business intelligence experts. As a part of the BIA Advisory Board, this network of professionals aid in maintaining a curriculum that aligns with current industry needs and anticipates future trends.

• Developed automated Infrastructure as Code (IaC) solution for AWS Marginal Cost Model to optimize the managment of over $300M in FCF. The model drives incremental unit capacity calculations and forecasts for foundational AWS services (EC2, S3, EBS, DDB, AWSP, & Glacier). Created scalable data processing through event-based architecture• Lead Data Engineer for Amazon’s Renewable Energy Valuation Automation (REVA) product - a cloud native modeling tool; enabled automated evaluation of 2000 renewable energy projects worldwide. The tool provides high velocity & low latency visual analytics of 200 GB of data instantly. • Developed and deployed a workplace capacity automated data pipeline and data visualization for CEO in response to COVID-19 impacts on office space use. Enabled key data insights and workspace forecasts for over 1 million employees and 350 buildings. Led to a time savings of over 3,000 annual employee hours and enabled fully automated monitoring of workspace supply/demand. • Led Analytics Engineering team in AWS FinTech team; leading over 120 code reviews, architecture reviews, project plan reviews, and design reviews. Collaborate with software engineers, data scientists, and product managers.• Lead architect and engineer of worldwide Data Lake, servicing all AMER, APAC, Japan, and EMEA regions, authoring over 200 automated Python and Spark glue scripts for the ETL of 12 disparate datasourcws. Leveraged controls to ensure security and compliance of datasets. • Modeled & Segmented regional data into S3 and Redshift for science modeling and business reporting • Automated manual extraction of datasets, reducing processing time from 16 hours to 2 hours• Deployed Tableau Server & managed server for all AWS worldwide Solutions Architecture teams• Technology used in role: Python, Scala, SQL, AWS Cloud Development Kit (AWS CDK), AWS Lambda, AWS Glue, AWS Athena, AWS DynamoDB, S3, AWS Redshift & Redshift, AWS Aurora DB, QuickSight, Tableau

Manager, Business Intelligence – Mobile Virtual Network Operator• Generated strategic insights and advanced data analysis. Developed Teradata/Impala/HIVE/SQL Developer queries for Digital Marketing, Product Intelligence, Finance, Care, Operations, Sales, and Devices teams • Presented data-driven recommendations for 15 customers through requirements gathering, prioritization, deep data discovery, creative technical design, and final product presentation• Created 25 Tableau visualizations and reporting pipelines to support new product launch for a Fortune 100 telecommunications company• Directed data modeling for cross-functional team reporting and self-service automation• Collaborated with Solutions Architects to design ETL flows for processing large and complex datasets in a data lake • Worked with Big Data technologies including Cloudera Hadoop, HDFS, Pentaho, and Spark• Streamlined executive reporting by consolidating over 10 reports with 20 disparate data sources into a single dashboardSenior Data Analyst - Fortune 500 Cable Telecommunications Company• Established scheduling and reporting framework for national launch and migration of VoIP service across a 3 million customer MSO• Implemented customer data profiling solution for enterprise customer segmentation• Led design and execution of test strategy • Strategically advised broad set of 20+ internal teams, including sales teams, partner groups, legal, and account support• Performed validation of Oracle Operational Data Mart using PL/SQL• Built data models in Oracle Business Intelligence Publisher• Delivered solution design based on technical requirements and report requests from stakeholdersLead - Internal Core Programming at Hitachi Consulting• Led engagement and professional development programming for 150 consultants • Advised a team of 5 analysts developing human capital metrics