At Cognizant Technology Solutions, I build and maintain data pipelines for the ING Bank credit risk engagement, ingesting streaming and transactional data from eight source systems with PySpark, Azure Data Factory, and Databricks. The workflows process millions of records and cut manual processing effort by 26%.
For Swiss Re, I provide L3 client support for Master Data Management in the EBX layer. I investigate production incidents, resolve and reconcile data errors with SQL and RDBMS queries, and coordinate releases through Azure DevOps.
During the Cognizant Internship Program, I engineered a Spark-based pipeline for more than one million medical claim records and automated incremental Azure ingestion to ADLS. At Next G Healthcare Solutions, I analyzed healthcare data models with SQL and built dashboards for patients, providers, and insurers.
In personal projects, I designed an Azure pipeline that converts raw medical-claims CSV data into Parquet and models it in a star schema. I also built a PySpark profiling pipeline to clean and transform claims data across ten data-quality dimensions. I hold Databricks certifications in Data Engineering, Machine Learning, Generative AI, and Data Analysis.
