Data Engineering Project: MarketFlow Analytics, Build a complete end-to-end data pipeline project using real tools like Kafka, Spark, and PostgreSQL.
Course Description
Step into the world of data engineering by working on a complete, end-to-end real-world project: MarketFlow Analytics. This hands-on course is perfect for learners who want to move beyond theory and build a practical project using modern data tools and workflows.
You’ll follow a structured path to simulate a real-world data pipeline—from data ingestion to processing, task management, and analytics. Starting with a guided project introduction, you’ll explore how real-time data is streamed using Kafka, processed with Spark, and ultimately stored in PostgreSQL. Along the way, you’ll also learn how professionals manage tasks using tools like JIRA and conduct research to make data-driven architectural decisions.
This course emphasizes not just building pipelines but also understanding the data journey—from source to insight. You’ll also work with real crypto data to generate meaningful business analytics, preparing you for challenges in data-focused roles across industries.
By the end of the course, you’ll have built a complete data engineering workflow that showcases your ability to work with streaming data, manage complex tasks, and think like a data engineer. Whether you’re preparing for your next role or building your portfolio, this project gives you the hands-on experience companies look for.
Start your journey into real-world data engineering today with MarketFlow Analytics.
