I built a complete End-to-End Real-Time Traffic Data Engineering Project using Kafka, PySpark, and Delta Lake,
This project simulates a real-world streaming data pipeline where traffic data is continuously generated, processed, cleaned, and transformed into analytics-ready datasets for business intelligence and dashboarding.
This is not a basic demo.
This is a production-style data engineering project that demonstrates how modern real-time pipelines are designed and implemented using industry-standard tools.
Every step is built from scratch — from data ingestion to transformation to final analytics layer.
No fluff. No shortcuts. Just real data engineering.
🚀 What You’ll Learn in This Project
In this end-to-end real-time data engineering project, you’ll learn:
• Building a real-time streaming pipeline using Apache Kafka
• Processing streaming data with PySpark Structured Streaming
• Designing Bronze, Silver, Gold (Medallion Architecture)
• Handling dirty and unreliable real-world data
• Data cleaning, validation, and deduplication techniques
• Working with Delta Lake for reliable and scalable storage
• Implementing data quality checks in streaming pipelines
• Feature engineering for analytics
• Designing Star Schema (Fact & Dimension tables)
• Creating analytics-ready datasets for BI tools
• Connecting data pipelines to Power BI for dashboarding
• Structuring production-style data engineering workflows
All concepts are demonstrated with real streaming data — not static examples.
🧰 Tech Stack & Tools Used
Apache Kafka
Apache Spark / PySpark
Delta Lake
Hive Metastore
Power BI
📊 Project Highlights
• Complete real-time data engineering pipeline
• Streaming data ingestion and processing
• Dirty data simulation and handling
• Data quality and validation layer
• Scalable lakehouse architecture
• Star schema modeling for analytics
• BI-ready datasets for dashboarding
• Production-oriented project design
📂 Project Repository
🕒 Timestamps
0:00 Intro
0:42 Project Introduction
2:10 Architecture Overview
8:00 Infra Setup
38:00 Data Source Setup
1:14:31 Bronze Transformation
2:05:48 Silver Transformation
2:51:16 Gold Transformation
3:25:42 Hive Meta store Initialization
3:51:40 Power BI Connection
4:00:48 Dashboard Creation
📣 Let’s Connect
🎯 Hashtags
#DataEngineering
#RealTimeData
#Kafka
#Spark
#DeltaLake
#PySpark
#StreamingData
#BigData
#PowerBI
#DataPipeline
#ETL
#Lakehouse