At UConn IT Services, I traced source-to-target dependencies across more than 15 systems, documenting how records moved through Snowflake transformations into reporting datasets.
I supported scheduled warehouse loads, investigated failed jobs and incomplete data, and implemented fixes that reduced repeat incidents by 40%. I also used dbt tests, reconciliation queries, schema checks, and freshness monitoring to detect 92% of defects before user testing.
As a Data Engineer I at UConn IT Services, I automated ETL/ELT workflows with Python, Apache Airflow, and SQL, loading data into Snowflake and BigQuery. Performance tuning reduced runtime by 38% on recurring workflows.
At Raster Engineers Pvt. Ltd., I supported cloud data workloads across AWS and Azure, processing daily records into Snowflake and BigQuery. I introduced reusable dimensional models that reduced duplicate logic by 35%, and validated data to reduce downstream reporting errors by 60%.
