Kushagramati Analytics — Enterprise Call center Data Engineering (June 2025 – Present)
Built scalable ELT pipelines in Databricks to ingest and transform high-volume nested JSON call-center data for analytics-ready datasets. Applied Medallion Architecture to structure ingestion, transformation, and analytics layers. Implemented flattening of nested arrays/structs to extract key interaction metrics for downstream BI reporting. • Ingested raw nested JSON data and appended ingestion metadata (timestamps and batch IDs). • Validated schemas and performed data quality checks in silver/gold tables. • Created transformation logic for producing curated datasets for operational analytics stakeholders. • Optimized transformations for performance and reliability in production workflows.