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Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.
Validate pipeline output using Great Expectations — row counts, null PKs, duplicates, schema drift, referential integrity, and business metric sanity. DQ notebooks run after ingestion notebooks and are the sole place where data quality is enforced. Produces a structured PASS/FAIL report.
KPI definition, calculation, and tracking skill for business intelligence dashboards
Agent skill for Data Analyst, Data Scientist, ML / AI Engineer, published by foundry-skills. Project details and file access are provided by the publisher.
Agent skill for Data Analyst, Data Scientist, ML / AI Engineer, published by AmnadTaowsoam. Project details and file access are provided by the publisher.
Agent skill for Data Analyst, ML / AI Engineer, Data Scientist, published by MaTriXy. Project details and file access are provided by the publisher.
Agent skill for Marketing Analyst, Product Manager, Growth Marketer, published by MikeTreml. Project details and file access are provided by the publisher.
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