At State Farm, I build Spark and Python pipelines to process insurance claims data and store it in AWS S3 for analysis. I also develop PySpark applications to detect patterns in fraudulent claims.
I designed ETL processes with Airflow and SQL to move policyholder data from Teradata into Snowflake, and developed Kafka streams to monitor quote requests during agent onboarding.
At Guild, I engineered pipelines that moved employee education data into Snowflake for talent insight reporting. I built dbt transformation models for skilling data and used Spark on Databricks to analyze education trends.
Across these roles, I’ve worked on data quality, governance, and cloud infrastructure, including checks with Great Expectations and secure AWS environments deployed with Terraform.
