SQL

Compares GL, subledger, bank, and third-party balances, categorizes differences, ages open items, and prepares close review notes.

Finds upstream sources, downstream dashboards, owners, and risk in DataHub so teams can avoid breaking reports, pipelines, or customer-facing data.

Reviews assertions, incidents, freshness and volume checks, and notification subscriptions so teams know which data assets need attention.

Compares definitions, filters, time periods, source systems, and freshness so teams can choose the right number and fix the mismatch.

Guides warehouse, query, loading, stream, task, sharing, security, and cost reviews with Snowflake-specific checks and clear next actions.

Profiles datasets for missing values, duplicates, outliers, invalid values, and rule violations, then verifies whether the repair actually improved the data.