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SimpliData: Data Quality & Validation Platform for Modern Data Systems

A data quality & validation platform that helps teams monitor, validate, and maintain data quality across multiple sources.

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About the project

SimpliData is a data operations platform designed to help teams monitor, validate, and maintain the quality of their data across multiple sources. The platform provides a centralized system where users can connect databases, track data health, and identify anomalies through structured insights and validation workflows. By combining data source management, validation test suites, and performance monitoring into a single interface, SimpliData simplifies the complexity of modern data ecosystems. It enables teams to detect issues early, maintain data reliability, and ensure consistency across pipelines and integrations.

Location:Remote
Duration:4 Months
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Technology stack used to build SimpliData.

A carefully chosen combination of modern technologies and tools designed to support secure data handling, scalable architecture, seamless integrations, and a smooth user experience across the platform.

Next.js
Next.js
Tailwind CSS
Tailwind CSS
AWS
AWS
Node.js
Node.js
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Our challenges

The primary challenge was designing a system that could handle complex data processes while remaining clear and usable for teams. Key challenges included structuring the platform around core workflows — connecting data sources, validating datasets, and monitoring performance — so users can move seamlessly between tasks, and organizing large datasets and technical information into readable tables, dashboards, and visual summaries that allow users to quickly understand system status and take action when needed.

Challenge

Centralized data dashboards for confident decision-making

A unified dashboard that gives teams full visibility into data health, validation status, and system performance. SimpliData enables users to monitor datasets, track anomalies, and analyze trends in real time, helping organizations build more reliable data pipelines, improve decision-making, and scale their data infrastructure with confidence.

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Project results

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Detected data issues early with automated validation workflows

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Improved data reliability through visible, actionable insights

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Reduced operational risk with real-time anomaly tracking

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Consolidated fragmented tools into one unified platform

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Accelerated decision-making with structured dashboards

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Built a scalable data foundation for growing teams

Key features of SimpliData and how it ensures data quality

An interface built with a strong emphasis on clarity and hierarchy, where data sources, validation tests, and performance insights come together in one cohesive system.

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Centralized Data Source Management — Connect and manage databases from multiple sources in one place.

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Validation Test Suites — Run structured validation tests to detect issues before they escalate.

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Anomaly Detection — Surface anomalies with immediate feedback for faster response.

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Performance Monitoring — Track data health and pipeline performance with real-time visibility.

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Integration Monitoring — Keep integrations consistent across pipelines and data flows.

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Actionable Dashboards — Turn complex data into clear tables, dashboards, and visual summaries.

Feature Highlight

Real-time monitoring built for modern data teams

SimpliData delivers a unified data management and validation platform that brings together data sources, quality checks, and performance insights into one cohesive system. Teams can monitor datasets, run validation tests, and manage integrations without relying on fragmented tools. The platform improves data reliability by making issues visible and actionable. With clear dashboards, structured workflows, and real-time insights, teams can identify anomalies, resolve inconsistencies, and maintain high data quality standards across their systems.

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