STTM Automation

Source-to-Target Mapping Automation

DE Copilot reads your Source-to-Target Mapping documents and automatically generates Snowflake DDL, transformation SQL, data dictionaries, technical specifications, and data quality rules — through a governed, human-reviewed workflow.

From STTM to Governed Delivery

Upload your STTM. DE Copilot normalizes it, generates artifacts, routes them through human review, and packages them for delivery.

STTM Ingestion & Normalization

Upload STTM documents in Excel, CSV, or structured format. DE Copilot extracts field definitions, transformation logic, business rules, data types, and assumptions into the Canonical Metadata Model.

AI Analysis & Risk Surfacing

The AI layer analyzes the normalized metadata, identifies missing mappings, ambiguous transformations, datatype mismatches, and undocumented assumptions — flagging them for review.

Canonical Metadata Model

All STTM metadata is normalized into a single structured model. This becomes the source of truth for all downstream artifact generation — ensuring consistency across all outputs.

SQL & DDL Generation

Generate Snowflake DDL (CREATE TABLE) and transformation SQL (INSERT INTO ... SELECT) directly from the validated STTM metadata. No manual translation required.

Documentation & Data Dictionary

Auto-generate technical specifications and data dictionaries from the same STTM metadata. Documentation stays in sync with the actual mapping logic.

DQ Rules & Human Review

Generate data quality rules from field metadata and business rules. All artifacts pass through a human review workflow before export — engineers stay in control.

The Problem DE Copilot Solves

Why STTM Translation is a Bottleneck

Engineers spend days or weeks manually translating STTM field definitions into DDL and SQL — work that is mechanical, error-prone, and offers no engineering value.

Every engineer interprets the same STTM differently, producing inconsistent SQL, undocumented assumptions, and divergent data models.

STTM documents are rarely kept in sync with the actual code — creating a permanent gap between specification and implementation.

DE Copilot treats the STTM as the authoritative metadata source and generates all artifacts from it — keeping specification and implementation aligned.

Stop translating STTMs by hand.

DE Copilot|Metadata Engineering

Built by

Amit Kumar Singh

Lead Data Engineer · Founder, DE Copilot · Enterprise AI & Metadata Engineering

15+ Years Enterprise Data EngineeringAvailable for SpeakingTechnical AuthorAI Hackathon Judge

dataengineeringcopilot.com  ·  © 2026

Personal project focused on metadata-driven data engineering. All examples, datasets, mappings, and screenshots are synthetic and provided for demonstration purposes only. No employer, client, or proprietary information is used.