• Architecting cloud solutions for the AWS Premiere Partner Organization • Serving the AWS Pillar of the Pro Services Data Practice • Assessing, Designing and Leading Implementation of cloud migrations • Serving clients in biotech, healthcare, reproductive, entertainment, government and other industries• Specializing in Data Analytics, Data Warehousing, Data Lakes, Real time data Integrations with sensors, various lab equipment, high-throughput data acquisition and POS integrations• Specializing in migrations of legacy systems to modern cloud architecture and managed services

• Architecting data-centric transformational projects focused on generating business value through utilization of data and analytics. • Establishing modern, high-capacity data platforms for ingestion, processing, analytics and visualization of data assets across the organization. • Improving processing capabilities by redesigning data pipelines, implementing data lakes and migrating legacy data warehouses to the cloud. • AWS Consulting Partner (Redshift, EMR, Kinesis, Glue, Spark, Athena, Sagemaker, QuickSight).

• Technical leadership over a comprehensive data and analytics organization, supporting business intelligence for various business units of a billion dollar company. • Evaluated emerging data and cloud technologies for scale, ease of integration and fit for projects. (Google Cloud, AWS)• Led architecture and solution design for multiple development teams.• Created roadmap and oversaw implementation for complete overhaul of a large (60 TB) legacy Microsoft BI stack. (multiple development teams)• Hybrid environment comprised of in-house Cloudera Hadoop, SAN, in-house SQL Server, SSIS, SSAS, OLAP cubes, AWS Elastic Map Reduce, Redshift, Spark, Athena, Tableau, Google Analytics and Google BigQuery among others.

• Led development of innovative BI solutions for talent intelligence consultancy owned by the largest US job board. • Monetized aggregate data resources. • Collaborated with business and industry experts resulting in creation of multiple client-facing talent intelligence products, which generated significant revenue ($20M+). • Designed, modeled, prototyped, scaled and evolved data-intensive analytical solutions using Microsoft BI stack (SQL, SSIS, OLAP, SSAS, SSRS)• Built, mentored and led BI development teams. (up to 11 developers)