I have a lot of experience (5 years) building and optimizing data pipelines from diverse sources using Python, SQL, Snowflake, and AWS Aurora that supported compliance and performance monitoring.
I've implemented schema-drift detection, null tracking, reconciliation layers, and metric QA. I've built automated QA layers in Python and SQL, and have ample experience aligning with Product, QA, compliance, and analytics teams on metric definitions and data products.
I have a lot of experience (5 years) building and optimizing data pipelines from diverse sources using Python, SQL, Snowflake, and AWS Aurora that supported compliance and performance monitoring.
I've implemented schema-drift detection, null tracking, reconciliation layers, and metric QA. I've built automated QA layers in Python and SQL, and have ample experience aligning with Product, QA, compliance, and analytics teams on metric definitions and data products.
Please let me know if I'm a good fit!