At Walmart Connect, I build data platforms that process more than 3 billion advertising events annually for campaign delivery, attribution, reporting, and machine learning. I develop batch and streaming pipelines with Python, SQL, Spark, Kafka, Databricks, Delta Lake, dbt, Airflow, Snowflake, and AWS.
I've improved Spark processing time by 42%, structured more than 15 billion historical event records in Delta Lake, and automated over 35 production workflows. I also build trusted campaign and audience datasets, strengthen data quality, and reduce production investigation time through observability and operational controls.
Previously, I delivered enterprise data solutions at IBM Consulting and modernized healthcare ETL platforms at athenahealth. I enjoy translating business requirements into practical data models and pipelines, leading design reviews, and mentoring engineers through optimization, code reviews, and production troubleshooting.
