Every artifact is generated from a single normalized metadata source — the Canonical Metadata Model — ensuring consistency and traceability.
Auto-generate CREATE TABLE statements with correct data types, NOT NULL constraints, primary keys, clustering keys, and column comments — directly from your STTM field definitions.
Generate the full transformation logic: INSERT INTO ... SELECT with joins, filters, CASE expressions, type casts, and derivation logic extracted from your mapping rules.
Field-level documentation with business definitions, source system references, transformation logic, data type rationale, and governance metadata — auto-generated and kept in sync.
Completeness checks, uniqueness constraints, referential integrity rules, range validations, and format checks — generated from field metadata and business rules in your STTM.
Visual ERDs showing table relationships, foreign key dependencies, and data model structure — generated from the normalized metadata model.
Full technical specification documents covering source-to-target field mappings, transformation logic, assumptions, open questions, and delivery decisions.
Engineers spend days translating STTM field definitions into DDL — work that is mechanical, error-prone, and offers no engineering value.
Transformation SQL written by hand diverges from mapping specs, creating undocumented assumptions and audit risk.
Data dictionaries fall out of sync with actual DDL within weeks of delivery.
DQ rules are inconsistently applied because there is no systematic way to derive them from mapping metadata.
DE Copilot was built by Amit Singh, a Lead Data Engineer with 15+ years of enterprise Snowflake and data platform experience across insurance, retail, and financial services. Every capability reflects a real problem encountered on real programs.