pallavikwatra/DataPulse-Enterprise

DataPulse Enterprise — Real-Time Data Engineering Command Center

DataPulse Enterprise is a no-cost Hugging Face Spaces project built with Python and Gradio. It simulates an enterprise data operations command center for senior data engineering portfolios.

Live Demo

Add your Hugging Face Spaces URL here after deployment.

Overview

DataPulse Enterprise monitors data quality, pipeline SLAs, real-time pipeline status, lineage impact, incidents and root-cause analysis across critical enterprise data products.

This project demonstrates senior data engineering concepts beyond ETL:

• —Data observability
• —Pipeline monitoring
• —SLA tracking
• —Data quality gates
• —Lineage and impact analysis
• —Incident management
• —AI-style reliability assistant
• —RCA report generation
• —Real-time operational command center design

Key Features

Executive Command Center

• —Platform health score
• —Data quality pass rate
• —Pipeline SLA score
• —Open incidents
• —Critical data product monitoring

Real-Time Pipeline Monitoring

• —Running / failed / delayed / succeeded pipeline states
• —Runtime vs SLA
• —Retry count
• —Backlog events
• —CPU utilisation
• —Error categories

Data Quality Hub

• —Completeness checks
• —Freshness checks
• —Uniqueness checks
• —Validity checks
• —Referential integrity checks
• —Schema drift checks
• —Volume anomaly checks
• —Distribution drift checks

Lineage & Impact Explorer

• —Source-to-dashboard lineage
• —Downstream dependency mapping
• —Impact analysis for failed datasets

Incident Center

• —Automatically created incidents from quality failures and SLA breaches
• —Severity, owner, impact, root cause and remediation actions

Reliability Copilot

• —Answers operational questions from metadata
• —Explains failures
• —Summarises executive risk
• —Generates remediation guidance

Tech Stack

• —Python
• —Gradio
• —Pandas
• —Plotly
• —NetworkX
• —Hugging Face Spaces

Deployment

1. 1.Create a new Hugging Face Space.
2. 2.Select Gradio as the SDK.
3. 3.Upload all files from this project.
4. 4.The app will run from app.py.

Portfolio Description

DataPulse Enterprise — Real-Time Data Engineering Command Center

Built a live data operations platform that monitors data quality, pipeline SLAs, lineage, incidents and reliability signals across critical data products, with AI-style root cause analysis and executive reporting.

Author

Pallavi Kwatra Senior Data Engineer | Cloud Data Engineering | Governance | Reliability