Month 2024-11 at ethereum-optimism/op-analytics focused on delivering richer TVL analytics, hardening data pipelines, and cleaning testing artifacts to reduce noise in CI. Delivered a feature to include raw token quantities and their USD valuations in protocol TVL data, refactoring the data processing to Polars DataFrames and merging token and token-USD TVL records for a unified, richer dataset. Addressed data quality and resilience with robust data extraction: handling empty dataframes via dummy dataframes, enforcing numeric casts to floats, and tightening protocol metadata extraction by excluding non-critical categories for improved accuracy. Performed test artifact cleanup to streamline testing and release processes. These changes improve data accuracy, pipeline reliability, and business-ready analytics, enabling faster, more reliable insights and better decision support.