Pasquale Parillo is a Senior Data Engineer based in New Haven with nine years of experience building cloud-native, scalable data platforms and ETL pipelines. He architects and optimizes Databricks-driven streaming and batch solutions, leveraging Delta Lake, Parquet, Azure SQL, and CI/CD to support analytics, reporting, and RAG-powered ML workflows. Comfortable across the full stack, he also develops internal APIs and apps with Django, React, and Postgres to surface insights and automate operations. A mentor and pragmatic problem-solver, he routinely tunes Spark performance and designs robust data governance practices to keep pipelines reliable at scale. Currently advancing MLflow-backed embedding and vector search deployments, he pairs a recent MS in Computer Science from Georgia Tech with hands-on Azure and Databricks expertise to translate complex requirements into production systems.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science - BS Software Development, Bachelor of Science - BS Software Development at Western Governors University
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