Safely and securely ingesting large volumes of data from high traffic production environments, auxiliary services, and various structured/unstructured data sources into our Hadoop and Vertica ecosystems.
Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Vertica while collaborating with analysts and data scientist in the creation of efficient data models.
Automate the on-demand provisioning and configuration of QueryGrid environments for development and test using virtualization and physical servers. This includes provisioning environments in AWS, Azure and VMware.
Deploy and maintain various services and integration efforts primarily in AWS; provide complex solutions involving cloud architecture and migration for various applications ranging from legacy to modern, big data platforms.
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.