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End-to-End Healthcare Data Engineer Project | GCP | Real - Time
🚀 Build a Real-Time Healthcare Data Engineering Project on Google Cloud Platform (GCP)!
In this project, we design and implement a Patient Vitals Monitoring System — a complete, end-to-end data engineering pipeline that runs 100% in the cloud and is fully automated.
The pipeline streams live patient vitals (heart rate, oxygen level, and body temperature) through Pub/Sub, processes them in real time using Dataflow with Apache Beam, and stores them in BigQuery — following the Medallion Architecture (Bronze, Silver, Gold).
Finally, we visualize the real-time analytics in Power BI, creating live dashboards for patient monitoring and healthcare insights.
This project mirrors how enterprise-level healthcare systems manage IoT-style streaming data for real-time decision-making — all inside GCP’s modern data ecosystem.
⚙️ 💡 What You’ll Learn
✅ Real-time streaming data ingestion using Pub/Sub
✅ Stream processing and transformations with Apache Beam (Dataflow)
✅ Multi-layer architecture using Bronze, Silver, and Gold layers (Medallion)
✅ Scalable cloud data warehousing with BigQuery
✅ Real-time visualization in Power BI
✅ Fully automated, event-driven data pipeline — no manual triggers
✅ Deploying, monitoring, and managing streaming jobs in GCP Console
✅ Integrating Data Engineering + Cloud Analytics for healthcare use cases
🧰 💾 Tech Stack:
1. Google Cloud Platform (GCP)
2. Pub/Sub
3. Dataflow (Apache Beam)
4. BigQuery
5. Power BI (Healthcare Dashboard)
6. Python
7. Git + GitHub
📂 🔗 Project Repository:
GitHub: https://github.com/Jay61616/Patient-Vital-Monitoring-GCP
⏱ Timestamps (Suggested)
0:00 Intro
1:05 Abstract
8:26 Begin Procedure
14:28 Simulator Explanation
43:48 Stream Data
54:27 Dataflow Code Explanation
1:56:03 Create Bucket
1:57:49 Create Big query Table
2:12:20 Start Dataflow Pipeline
2:25:19 Connect Power Bi to BigQuery
2:26:53 Create Dashboard
2:54:59 Outro
🌐 💬 Stay Connected:
🔗 LinkedIn: https://www.linkedin.com/in/jayachandrakadiveti/
💻 GitHub: https://github.com/Jay61616
🌍 Website: https://jay.unaux.com
Credits:
Intro Music: https://socialbunnymarketing.com
Icons: https://www.flaticon.com/
🔥 #Hashtags
#healthcaredataengineeringproject #googlecloud #GCPProject #DataEngineering #HealthcareAnalytics #PubSub #Dataflow #ApacheBeam #BigQuery #PowerBI #StreamingData #RealTimeData #CloudDataEngineering #HealthcareData #EndToEndProject #BigData #ModernDataStack #PortfolioProject #GoogleCloudDataEngineer #gcp
Видео End-to-End Healthcare Data Engineer Project | GCP | Real - Time канала Data with Jay
In this project, we design and implement a Patient Vitals Monitoring System — a complete, end-to-end data engineering pipeline that runs 100% in the cloud and is fully automated.
The pipeline streams live patient vitals (heart rate, oxygen level, and body temperature) through Pub/Sub, processes them in real time using Dataflow with Apache Beam, and stores them in BigQuery — following the Medallion Architecture (Bronze, Silver, Gold).
Finally, we visualize the real-time analytics in Power BI, creating live dashboards for patient monitoring and healthcare insights.
This project mirrors how enterprise-level healthcare systems manage IoT-style streaming data for real-time decision-making — all inside GCP’s modern data ecosystem.
⚙️ 💡 What You’ll Learn
✅ Real-time streaming data ingestion using Pub/Sub
✅ Stream processing and transformations with Apache Beam (Dataflow)
✅ Multi-layer architecture using Bronze, Silver, and Gold layers (Medallion)
✅ Scalable cloud data warehousing with BigQuery
✅ Real-time visualization in Power BI
✅ Fully automated, event-driven data pipeline — no manual triggers
✅ Deploying, monitoring, and managing streaming jobs in GCP Console
✅ Integrating Data Engineering + Cloud Analytics for healthcare use cases
🧰 💾 Tech Stack:
1. Google Cloud Platform (GCP)
2. Pub/Sub
3. Dataflow (Apache Beam)
4. BigQuery
5. Power BI (Healthcare Dashboard)
6. Python
7. Git + GitHub
📂 🔗 Project Repository:
GitHub: https://github.com/Jay61616/Patient-Vital-Monitoring-GCP
⏱ Timestamps (Suggested)
0:00 Intro
1:05 Abstract
8:26 Begin Procedure
14:28 Simulator Explanation
43:48 Stream Data
54:27 Dataflow Code Explanation
1:56:03 Create Bucket
1:57:49 Create Big query Table
2:12:20 Start Dataflow Pipeline
2:25:19 Connect Power Bi to BigQuery
2:26:53 Create Dashboard
2:54:59 Outro
🌐 💬 Stay Connected:
🔗 LinkedIn: https://www.linkedin.com/in/jayachandrakadiveti/
💻 GitHub: https://github.com/Jay61616
🌍 Website: https://jay.unaux.com
Credits:
Intro Music: https://socialbunnymarketing.com
Icons: https://www.flaticon.com/
🔥 #Hashtags
#healthcaredataengineeringproject #googlecloud #GCPProject #DataEngineering #HealthcareAnalytics #PubSub #Dataflow #ApacheBeam #BigQuery #PowerBI #StreamingData #RealTimeData #CloudDataEngineering #HealthcareData #EndToEndProject #BigData #ModernDataStack #PortfolioProject #GoogleCloudDataEngineer #gcp
Видео End-to-End Healthcare Data Engineer Project | GCP | Real - Time канала Data with Jay
healthcare data engineering project real time data engineering project gcp data engineering project google cloud data engineering dataflow gcp streaming bigquery data engineering end to end gcp project gcp portfolio project healthcare data pipeline gcp power bi healthcare dashboard gcp dataflow tutorial streaming data project gcp dataflow apache beam gcp streaming healthcare data End-to-End Healthcare Data Engineer Project GCP
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17 октября 2025 г. 20:34:36
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