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!
I know the posting mentions 5+ years, but I've been working at scale - built ETL pipelines processing TBs daily and have solid experience with data quality monitoring and cost optimization.
Happy to discuss - email in my profile.