• Concurrently managing 3 teams: ◦ A long term team of 10 engineers creating a multi-petabyte Data Warehouse in Snowflake using dbt, Python, Airflow, EKS, EMR and other AWS functions that is used for business critical decisions as well as for analytical and AI/ML model development. ◦ Two related teams of 8+ engineers each addressing security vulnerabilities and modernizing critical high volume Hadoop-based Java, Python, and Spark pipelines. Migrating those same pipelines to AWS using modern design patterns and native functionality (S3, GLUE, EKS, etc).

• Mentoring and guiding a multi-level organization of over 20 consultants, including eight direct reports.• Manage and coach multiple teams of more than 30 engineers and consultants on client engagements.• Initiated and advanced internal training, certifications, and accelerator efforts.• Responsible for coordinating staffing in Denver and all Data Engineering throughout the Western US.• Sponsor and coordinator for Denver and Dallas/Fort Worth bench, connectivity, and office activities.• Create and track to budgets and statements of work for consulting engagements.• Drive internal and external recruiting to organize and staff teams.• Gather and refine client requirements, determine architecture, plan, and drive delivery.• Implement and drive Agile methodology adoption by clients and internal teams (Scrum, Kanban, SAFe).

Modernized and migrated core business functionality from an on-prem Hadoop system to a cloud native design on Azure using streamsets, dbt, Python, and Snowflake to greatly increase capacity, reduce processing time, and improve system stability.

• Elicited, gathered and refined requirements from diverse stakeholders as well as multiple other divisions and teams, including sales and Product Ownership. • Mentored and established learning plans for team members that directly led to their growth into more advanced roles and responsibilities.• Redesigned and enhanced the recruiting and interviewing process to better evaluate candidates quickly.• Concurrently managed three teams: ◦ Data Engineering team responsible for the entire enterprise data environment including multi-cluster postgres (greenplum), Hadoop HIVE, and HDFS as well as ETL and analytics processing. ◦ Data Engineering team responsible for analyzing client data for quality, ingestion into the Clickfox data model and systems, and development of automated analytical reporting. ◦ Data Science Engineering team responsible for ML DevOps as well as creating and implementing AI and ML models for data analysis to discover patterns in client data in order to provide competitive advantage and drive efficiency in interactions between clients and their users.• Implemented robust Agile Scrum and Kanban development methodologies.• Initiated and drove the implementation of data governance throughout the organization.• Provided data architecture and guidance for existing and new products and systems.

◦ Enterprise Architect responsible for coordinating multiple enterprise-wide initiatives effecting the entire corporate data, processing, and user interactive systems.◦ Collaborated with a wide variety of stakeholders and multiple architecture teams to design the integration, data, and security domains for the Horizon Advocate enterprise CSR platform.◦ Headed the design and architecture for data systems, microservices, and SaaS, focusing on secure and flexible environments by nurturing teamwork to accelerate collaboration and sharing of ideas.◦ Managed and designed the API integrations for dozens of diverse data and software systems across on-prem and cloud implementations including Oracle, DB2, DynamoDB, RDS, and Redshift.

Clarity Insights is the largest consulting company in the US that focuses exclusively on data strategy, engineering, science and visualization. We help our clients—Fortune 1000 companies across multiple industries—leverage data and analytics to find actionable insights that can help them seize new opportunities and solve their toughest business challenges. • Grew and mentored both direct reports and team members across multiple client engagements. • Organized training and certification opportunities for both team members and clients.

◦ As Data Architect streamlined data analysis by integrating numerous data sources to boost the efficiency of Global Business Marketing organization’s actionable intelligence gathering.◦ Trained engineering teams to address skill gaps and implement best practices, maximizing velocity.

• Managed four teams - organized, hired, trained, and coached culturally and generationally diverse members resulting in collaborative, hardworking, and productive teams: ◦ STBHealth – Real-time command and control systems as well as data retrieval for reporting of 20+ million Set Top Boxes(STB) and millions of IoT devices. ◦ Reporting and Analytics – Implemented Real-time and extended reporting and analysis. Created self service reporting systems using multiple tools including Tableau and direct SQL access. ◦ DishOnline OTT Data – Data systems for DishOnline OTT video streaming and reporting. ◦ Linux Support – full desktop, server, and data center technical support including networking.• Managed and designed all aspects of the data life-cycle to optimize speed of data processing, delivery, and storage while guaranteeing data availability and quality.• Implemented streaming data delivery and real-time reporting and command and control systems. • Augmented data processing from 90MB to 2TB per day by designing and leading teams to implement a modern data system utilizing Kafka clusters and real time streaming processing.• Guided team through initial product implementation and production support of Hadoop clusters with >4 PB combined capacity. • Increased data throughput by a factor of more than 100, improved redundancy and availability, and enabled stable delivery to multiple internal and external customers.• Increased data frequency by 700%, and actionable data points by >900%

• Provided comprehensive first-class data processing services though architecture and schema design to improve performance, maintenance, backup, and recovery. • Improved database performance by creating and supporting production instances, including interactive dashboard systems and analytics reporting databases with >20 TB of data each. • Designed and implemented hybrid environment system to handle growth from 600K payloads per week to >100M payloads per day: overall system handled on-demand, near real time and volume analytics to address a wide variety of business needs.• Developed and implemented data security, retention and storage policies, and best practices. • Increased organization’s intellectual capital by serving as leader, coach, and instructor for engineers and database administrators.• Created and delivered introductory and advanced SQL training courses designed to instill confidence, inspire innovation, and allow individuals to excel in the industry.

• Lead a software and data engineering team throughout the software development life cycle.• Created architecture and co-lead the modernization of the bill creation and processing system for millions of customers, resulting in more than 50% reduction in processing and storage costs while increasing time-to-market for new billing packages and bill changes by more four times.• Redesigned and updated multiple other systems.

• Developed production applications and software in a diverse set of environments ranging from mainframe to UNIX servers to windows desktops and servers.• Served as Subject Matter Expert (SME) and Database Administrator on multiple products.