Cloud Data Architect,
Feb, 2022 - Present
Technical lead on client engagements delivering quality solutions in areas of machine learning, large language models, and data warehousing.
Designed many large language model applications including an email parser that converts email threads to automated workflows, internal assistant for creating and managing Jira boards, and an internal chatbot that utilized RAG against company documents.
Successfully completed 6 AWS MAP Assess programs for clients encompassing a variety of industries including finance, healthcare, and transportation.
Overhauled a client's existing machine learning infrastructure on AWS utilizing SageMaker ecosystem. Client saw improvements in their overall spend and ability to manage a growing number of production machine learning models.
Authored best practices and delivery 'playbooks' in areas of AWS, ETL, Matillion, dbt, SnowFlake, CI/CD, and DataOps.
Leveraged Kimball modeling techniques to build out information marts for enterprise clients.
Created CI/CD pipelines for SnowFlake administration scripts and dbt core deployments.
Reduced greenfield SnowFlake RBAC deployments from days to minutes.
Reduced SnowFlake credit consumption by optimizing dbt models resulting in a 75% reduction in spend.