API Schema

API Data Modeling & Schema Design

This portfolio section demonstrates how I structure API and data requirements so business meaning is preserved across system boundaries.

What I Document

• Business entities, attributes and relationships
• Canonical field names, data types and formats
• Required, optional and nullable rules
• Identifiers, timestamps, monetary values and enumerations
• Source-to-target mapping and transformation rules
• Validation, error handling and exception scenarios
• Versioning and backward-compatibility considerations
• Security classification and audit requirements

Business Analyst Perspective

The goal is not just a technically valid schema. It is a shared contract that connects business requirements, data semantics, integration behavior and testable outcomes for engineering, QA and operational teams.