At Citicorp, I designed and developed a reusable Python-PySpark data quality framework with eight configurable validation rules, improving data accuracy by 72% and reducing manual validation effort by 85%. I also built and maintained Spark ETL pipelines supporting regulatory liquidity reporting.
I developed Python utilities that eliminated 1.5 million HDFS files and reduced Spark runtime by 80%, and built Spring Boot REST APIs for liquidity dashboards. On Retail Lens, I’m building a Google Cloud analytics platform with BigQuery and a multi-agent architecture using Gemini, Google ADK, and MCP-based database tools.
