At PayPal, I engineered Bronze–Silver–Gold lakehouse pipelines for payment data, improving availability by 40%. I also optimized Spark workloads, reducing processing costs by 22% and critical-job runtime by 35%.
At WPP, I designed parameterized ingestion pipelines for 15 enterprise systems and improved cross-system reconciliation accuracy to 99%. I delivered dimensional datasets to eight reporting teams, reducing manual Power BI preparation by 12 hours per week.
At Amazon, I automated ingestion for 60 enterprise datasets and supported 12 ML feature pipelines with governed, versioned datasets. I also improved release workflows and incident response through automated deployment and monitoring.
Earlier, I developed data platforms across Snowflake, GCP, and Hadoop environments, improving analytics delivery, streaming latency, and data quality. My project work also includes secure patient-data interoperability using HL7/FHIR ingestion patterns and sensitive-data controls.
