At Aspire Systems, I design and implement data models and pipelines within a Databricks Lakehouse architecture, integrating data from multiple source systems into curated datasets for analytics.
I also develop ingestion pipelines for Bronze-layer data and use PySpark for transformations and aggregations across Silver and Gold layers. My work includes Delta Tables, Auto Loader, and Databricks Jobs.
Earlier at Aspire Systems, I developed an event-driven pipeline that routed source-data changes through AWS EventBridge and Lambda into Apache Iceberg tables. I also used Python, Pandas, and AWS services to process incoming event payloads.
My previous work includes building Azure Data Factory pipelines at Speridian Technologies and developing Oracle PL/SQL ETL pipelines, data transformations, and database objects at Cognizant Technology Solutions.

