Plano, Texas, United States
• Graduated from Technology Development Program and Machine Learning Engineering Technology Program.
• Developed a Serverless Framework to automate the creation and execution of Data Controls (Lambda, SQS, DynamoDB, S3), resulting in
the automation of 100+ controls across multiple teams and LOBs that were previously manual.
• Significantly reduced the time required to push controls to Production from 3-6 months to a single sprint.
• Created and currently support a centralized Python library used by a sub-division for the abstraction of general processes such as calling
APIs, querying databases, or interacting with AWS services.
• Empowered non-coders to run more than 60+ data controls in the Framework without writing code by developing a configuration language
that allows users to interact with the framework using a TOML configuration.
• Improved scalability for the Lambda framework to handle big data queries and transformations (Billions of records) by enabling customized
asynchronous calls and integrating with Polars and concurrent Lambdas.
• Increased data lineage by over 20% in the LOB by creating a control through the framework.
