Summary
Samuel Rodriguez is a Senior Data Engineer with eight years of experience designing data warehouses, lakehouses, and automated ETL pipelines across AWS and Azure environments. He has delivered end-to-end solutions—combining data engineering, MLOps, and app development skills—using tools like Glue, Redshift, Databricks Delta Lake, Synapse, MLflow, and Cosmos DB for online feature serving. Samuel’s work includes building production ML infrastructure and a Python package that sped up ETL data validation by 400%, showing a pragmatic focus on automation and operational efficiency. A former U.S. Coast Guard petty officer, he brings disciplined project and budget management to technical delivery and is actively pursuing AWS and Azure certifications while expanding his skillset autodidactically.
8 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Finance Corporate Finance, Bachelor’s Degree Finance Corporate Finance at University of South Florida
Data Engineering Nanodegree Data Modeling/Warehousing and Database Administration, Data Engineering Nanodegree Data Modeling/Warehousing and Database Administration at Udacity
Associate’s Degree Accounting, Associate’s Degree Accounting at St. Petersburg College
English, Spanish