We take handling sensitive customer data seriously. This blog explains how we manage PII and confidential data in BigQuery through default masking, automated tagging, and strict access controls.
Our data observability workflow uses data quality testing to ensure data meets accuracy, consistency, and reliability standards, enabling confident, data-driven decisions. See how we built it, the common challenges we encountered, and the solutions.
A review of my first three months as Data Engineer on the Data team working on improving the development platform, experimenting with different data ingestion tools, and cutting down on overall platform costs.
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