Rinal Shah — Data Engineer

Data Analytics and Data Engineering professional with 6+ years of overall experience building scalable data pipelines, modern data platforms, and analytics solutions that drive data-driven decision making. Currently working for Optum on a cloud modernization initiative, migrating on-premise Informatica and Airflow workflows to Microsoft Azure, and developing end-to-end pipelines using Python, Azure Databricks, PySpark, and Delta Live Tables (DLT). I design data workflows following the Medallion Architecture (Bronze, Silver, Gold) to process and transform large healthcare datasets into analytics-ready data. Previously at The Bank of Missouri, I automated Snowflake and Python data pipelines, streamlined regulatory reporting with compliance teams, and built executive dashboards that improved portfolio insights. Core Skills: Python • SQL • Databricks • Snowflake • Azure • ETL/ELT Pipelines • Power BI • Tableau Open to Data Engineer and Data Analyst opportunities focused on building scalable data platforms and delivering actionable insights.

Stackforce AI infers this person is a Data Engineering and Analytics professional with a focus on Healthcare and Cloud technologies.

Location: Plano, Texas, United States

Experience: 5 yrs 8 mos