Enno R Becker

Principal Architect for Audience Cloud product providing TV and digital advertisers with self-service segment counts, selection, and distribution. Worked closely with Product Management to define roadmap and drive development with scrum teams in the US and China. Designed interaction of  Data as a Service (DaaS) platform components including APIs, standardized metadata, orchestration, security and privacy.  Ingested TV subscriber and mobile device data for resolution and incorporation into the entity graph.

• Upgraded legacy audience counts engine for increased capacity and 5 - 10x performance improvement.
• Architected search-based next generation counts and selection engine for national audiences with thousands of attributes.
• Guided front-end and server-side reengineering design and stack selection for Audience Cloud 3.0.
• Established new Cloudera-based advertising measurement environment for 20 million cable TV households.
• Led technical design for machine learning-based segment generation via data partner seed-list upload and modeling via in-house or cloud-based provider.

Data technologies include Hadoop, Spark, Elasticsearch, Acxiom Data Services API, Oracle, Sybase IQ, AWS. Front End technologies include Angular, Node.JS, Spring, Mongo, MySQL.

Responsible for creating the technology vision and architecture for TV Advanced Advertising and Audience Management platforms.  Worked with MVPD partners to design and implement demographic data builds and viewership analytic pipelines.  Pioneered Set Top Box (STB) data processes to improve data quality and filter out non-viewing "zombie" intervals. 

• Developed massively parallel STB event processor to yield standardized intervals of TV viewing and incorporated into daily processing at a large MVPD, scaling to billions of events across linear, on demand, and DVR activity.
• Designed and built TV viewership and ad impression ingest and analysis pipelines  for pre- and post-campaign analysis supporting data from multiple MVPD's.  Migrated from in-house cluster to AWS cloud.
• Architected the ad targeting audience database for 20 million+ cable TV subscribers including identity resolution and data append from multiple data providers.

Data technologies include multiple Hadoop distributions, Java MapReduce, Oracle, AWS. Analytic technologies include Tableau, Qubole, Jupyter, Spark. 

Responsible for on-line and off-line audience data for B2B division of Reed Elsevier.  Built and operated website and email analytics platform for 40+ industry publication brands including integration with controlled circulation magazine subscriptions.  Developed code and databases for site registration, email subscription, lead generation, and other online components to support tracking and user preferences.

Built and operated the shared network, email, and database infrastructure for a global consulting and training company.  Developed early web-based assessment and measurement platform for training outcomes and HR performance.  Delivered integrations with large customers' HR systems and intranets.

Designed interdisciplinary major incorporating AI, Cognitive Psychology, and Organizational Learning to study learning processes in humans and machines.

Studied Human Ecology.  Created cross-disciplinary workshop for global economic and ecological interaction analysis and simulation.