• Engineered ETL pipelines for scraping and ingesting speeches, transcripts, and memos from Federal Reserve District websites into AWS OpenSearch

• Utilized AWS Step Functions, AWS SQS, AWS S3, and AWS CloudWatch to manage over 500 lambda invocations (Python, AWS, Terraform)

• Enhanced data validations and an in-house Python data ingestion framework to support the migration of Economic Research Models to AWS Cloud.

• Utilized Python, Databricks

• Developed features for a Python backend NLP application for efficient text search using lexicon rules and unsupervised topic modeling, increasing search efficiency by 20%.

• Engineered the testing of in-house AWS Service Catalog products with pytest

• Utilized Python, AWS

• Developed Alteryx ETL Workflows that increased deployment efficiency of public research datasets

by 20%

• Engineered Alteryx Server fail-safe scenarios with configurable inputs for retention periods

• Utilized Alteryx, Powershell, Bash, Unix

• Developed Alteryx ETL Workflows to generate dynamic score cards from balance sheet data stored in a Cloudera environment for counterparty risk analysts, cutting report generation times by 50%

• Utilized Python, SQL, and Alteryx

• Reduced tech debt in the Digital Asset Navigation application by 20%, saving 4000$ annually.

• Utilized the Java mocking framework Mockito to test different database connections and expedite

tedious testing/deployment processes (Java, Java Spring).