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automation2026

DataBridge Utility

DataBridge Utility is a practical workspace for converting, cleaning, mapping, validating, and exporting CSV, JSON, and API data. The project demonstrates how technical utility workflows can become understandable, controllable, and safe through clear product design.

automationdata transformationCSVJSONAPI utilityvalidation
DataBridge Utility cover
Client

Independent data-tool concept

Year

2026

Role

Product Designer, Information Designer

Duration

5 weeks

Project Gallery

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DataBridge Utility gallery item 1
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Product Context

A practical workspace for converting, cleaning, mapping, validating, and exporting CSV, JSON, and API data.

Product Context media
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The Challenge

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Objectives

The product experience was shaped around safe automation, readable workflows, and recoverable states.

  • Simplify import and conversion
  • Create visual field mapping
  • Explain validation issues clearly
  • Support reusable transformation recipes
  • Design safe export and preview flows
process steps

Core Workflow

Move data from messy to usable.

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  • CSV and JSON import
  • API fetch
  • Field mapping
  • Transform rules
  • Validation
  • Preview
  • Recipe saving
  • Export
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Visual Direction

Precise neutral interface with structured tables, code-aware details, clear mapping lines, and blue-teal accents.

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technology stack

Recovery and Trust

The design makes progress, errors, retries, warnings, and rollback behavior visible before users commit to risky actions.

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  • TypeScript
  • Python
  • CSV parser concept
  • JSON mapping
  • API import
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Final Product Gallery

The gallery follows the supplied Tools and Automation brief, custom cover direction, and exact image manifest.

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Final Product Gallery media
01 - Main Interface Cover
02 - Mapping and Transformation System
03 - Settings, States, and Integrations
04 - Final Product Ecosystem
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Portfolio Disclosure

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