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Enhancing Data Processing and Productivity with DataNimbus Designer

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Timeline

1 month

Scope

Building a design system and designs

Industry

SaaS

01 |  THE CHALLENGE

The existing ETL (Extract, Transform, Load) tool was cluttered, inconsistent, and difficult to navigate. Users often struggled to locate key features or complete tasks, leading to frequent errors and frustration.

The interface lacked clarity, and workflows were unintuitive, especially for non-technical users.

The challenge was to redesign the tool into a seamless, user-friendly experience that balanced power and simplicity for both technical and non-technical audiences.

ETL Tool

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Extractors

Transformers

Loaders

02 |  TARGET USERS

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Built For

[Data Engineers ]

[Data Scientists]

[Data Analysts]

[Developers]

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ETL Process

The ETL tool streamlines data extraction, transformation, and loading with an intuitive, user-friendly interface. It simplifies complex workflows and ensures seamless integration with Databricks.

E

T

L

Users select files to Extract

Reshaping/Formatting /Cleansing the data

Prepare and choose data destination

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03 | DESIGN SYSTEM

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 | Figtree

Aa

Custom Node Components

Buttons

Badges

...and many more, including input fields, selection components, dropdowns, chips, tabs, and icons.

All built to ensure visual consistency and speed up future development

With a tight one-month timeline, we focused on core components to ensure consistency and speed

Alongside foundations like color, typography, spacing, buttons, and inputs, we also designed custom components—such as reusable nodes for the canvas—enabling users to easily drag, drop, and configure modules.

04 | DESIGNS

01  Design

The Canvas aka Workspace

The node panel allows for quick switching between node types, allowing users to efficiently drag and drop the right components into the canvas.

Node Panel

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The edit panel is where users can modify file and node information such as file name, set the file path, save configurations, and remove nodes from the canvas.

The panel was built to be clean and intuitive — making advanced operations simple even for first-time users.

Edit Panel

02  Publish

Seamless data workflow in Databricks

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03  

Customise

Built to tailor ETL processes with flexible, customizable modules

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05 | IMPACT

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The Datanimbus Designer streamlined complex workflows into a drag-and-drop interface, making data operations faster, simpler, and more accessible for teams.

Developer Productivity

improved by

8x

Time to Market

accelerated by

5x

Operational Cost 

reduced by

47%

06 | REFLECTIONS

Personal Takeaways

This project gave me hands-on experience designing a technical SaaS tool. I loved the challenge of crafting a clear visual language and drag-and-drop interface that made complex workflows feel intuitive—even for novice users. Balancing power with simplicity was both rewarding and essential.

What I'd do Differently

  • Incorporate User Research to refine usability for both beginners and experts.

  • Gain Deeper Insights into data workflows by engaging more with data engineers and end-users.

Thank you for reading!

©2025 by aishwaryasubramanian

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