At MetLife, I architect Azure and AWS Lakehouse platforms for insurance and healthcare analytics, using reusable Bronze, Silver, and Gold data layers. I also build PySpark frameworks and Snowflake warehouse architectures for enterprise analytics.
I developed modular dbt transformation frameworks that reduced analyst onboarding effort by approximately 40%. I also designed batch and near-real-time orchestration and streaming pipelines with Apache Airflow, Kafka, and AWS Kinesis.
At PNC Bank, I engineered data pipelines for customer, account, transaction, risk, and financial datasets. I built Azure Data Factory ingestion workflows and Delta Lake processing layers to support analytics and regulatory reporting.
At Change Healthcare, I migrated more than five legacy ETL workflows to AWS Glue, reducing batch processing time by approximately 60%. Earlier, as a Backend Developer at Chevron, I developed Java, Python, and SQL applications and REST APIs for internal business and operational applications.
