• Developed the reference architecture for the transition of analytics from the on-premise Cloudera Hadoop cluster to the Google Cloud Platform• Designed and delivered an Airflow paradigm allowing for data engineers and non-engineers to rapidly automate Hive and Impala pipelines • Contributed to Equifax’s data and security centric future state architecture that consistently leveraged differentiated data assets in a highly secure environment for delivery at scale• Implemented workflow automation pipelines using the Airflow paradigm and custom pipelines to improve data availability from ~20% to ~80% within 1 year• Acted as a player coach to a highly impactful data engineering team providing vision, strategy, mentoring, data architecture reviews, and opportunities for growth and development• Cultivated relationships with data science, product, sales, finance, and technology teams to understand data needs, capabilities, business opportunities, and transformation timelines

• Led the development of analytical systems utilizing Airflow, python streaming, PySpark, hive and impala to maximize the throughput on the current cluster, develop defined workflows and demonstrate the potential of the D2A2P (Data to Analytics and Analytics to Production in 30 days) initiative• Facilitated the transition from a SAS analytic environment in order to maximize the utilization and efficiency within the new Cloudera Hadoop cluster• Designed and implemented an Airflow paradigm for the rapid development and deployment of Hive and Impala based data transformations by both data engineers and non-data engineers.• Led hiring, development, and management of talent for a high impact and much recognized data engineering team

• Developed technical and data governance requirements for a migration of on-premise legacy SAS analytical systems to an on-premise Cloudera Hadoop installation • Facilitated the replication of key data assets from a production database to a Hadoop cluster for analytics; including development of the data structure and views, data pipelines, meta data, data governance policies and user roles• Led hiring, development, and management of talent of a work class data insights and data management team

• Integrated multiple Billions of rows of data from a variety of data sources, designed to generate penetration reports for Workforce Solutions verification services; thereby empowering marketing, sales and senior leadership with the ability to devise more effective and targeted marketing campaigns, identify sales opportunities by relative strategic value, and track performance of individuals, teams and verticals• Conceptualized, designed, and implemented a production system where a large-scale point-in-time transaction database is transformed into retro data warehouse with 60+ months of data. This system is utilized for time series analyses, modeling, and data validation studies to drive sales and create new products.• Championed efforts to create low cost interim production alternatives for POCs, new products and the delivery of information to sales• Engaged senior leadership and technology team to devise a production platform utilized to incorporate new products and/or analytical systems devised by the analytics team• Devised business intelligence reporting systems and dashboards utilized by sales and senior leadership• Led an effort to identify a reporting and visualization replacement for an existing data warehouse• Consulted senior leadership on M&A for data and integration strategies• Designed and implemented SAS analytic system for Workforce Solutions analysts• Leading international D&A team to assist with the development and implementation of production level metrics• Recognized as the analytical SME for All product lines within Workforce Solutions• Developed pipeline process for automated Daily, Weekly, and Monthly processing utilizing SAS Macros.

• Developed an analytic pipelines by incorporating and integrating data from 7 monthly tracking studies with 20+ years of data, adhoc research data, and other key internal and external data sources- Analytical Systems optimized for trend analyses, profile analyses, modeling and reporting- Provided strategic direction, refined and implemented analytical systems on projects, thereby reducing average time to reporting by 75%- Devised and delivered multiple custom built business intelligence tools to provide data to analysts, sales and senior leadership rapidly and efficiently; thereby greatly increasing data accessibility for strategic reporting and performance tracking - Creating and executed analytical reporting systems used to generate 500K+ PDFs and 10K+ per month within 5 business days of data delivery, all at little or no cost to my organization or the client• Managed internal production teams through the creation of detailed project plans, functional and technical specifications, schedules, timelines and status reports• Worked with senior leadership to develop overall account strategy, strengthen client relationships, planned growth of account, maintained budgets, and project profitability• Developed a strong working relationship with Anheuser-Busch senior leadership by demonstrating a thorough understanding of client needs and delivering timely, effective and actionable insights• Designed and developed surveys, survey specifications and procedures for 7 monthly tracking studies and 50+ adhoc studies including: questionnaire construction, sampling, sample management, infield maintenance and weighting.• Developed, implemented, managed SAS analytics environment utilized throughout Gallup for analytics