5 Free Data Engineering projects to build your strong portfolio in 2023

🤖Transform Your Big Data Skills with These Proven Projects with Source Code

Data Engineering is a rewarding career that is Booming right now.

The need for skilled professionals in this field is increasing day by day. DE is critical in a data-driven world to build, design, and manage data science pipelines and maintain data infrastructure for powering data applications.

To summarize into a pharase: “Data Engineering is the Future of AI”💥🚀

But the problem is —

Finding Data Engineering Projects is very Hard! That’s why I made this list of 5 Projects you can practice NOW🔥🔥🔥

If you have an interest in Data Engineering or wanna upskills your expertise to a higher level. You have clicked on the right Blog. This Blog will also help you build a great portfolio/resume for your job.

Reminder —

I do not know how you do it, but hit the link ‘Referal Link’ to join medium and Follow me. Your support means the world! Thank You🙏

Let’s get started then😄!

1- Twitter Data Pipeline using Airflow

When you hear the word data pipeline in the Big data community.

You only need to think one thing, a Data Engineer. Because it’s their job to build, design and manage pipelines. So, if you want to become a Pro, you need to master skills and tools related to the data pipeline.

They are things that are a must for you. This project will teach you the basics of Airflow and how to build a data pipeline.

You will be learning —

Python for DE, Basic Airflow, Working with Twitter Data Package — Tweepy, and Writing ETL jobs — storing data on Amazon S3.

Here you go — Link🚀🚀

2- YouTube End-To-End Data Engineering Project

This is a 3-hour long project where you will execute a complete Data Engineering project.

The speaker will guide you in each step and also share each detail. I encourage you to do this project, especially as a beginner. This project teaches, How to understand the business problem and think like a DE.

In this project, you will be learning —

Python and PySpark, SQL, Amazon Web Services (AWS) — Athena, Glue, Redshift, S3, IAM, Lambda, Quicksight

Here you go — 🚀🚀

3- Surfline Dashboard

In this project, You will collect data from Surfline API through the pipeline and export a CSV file to Amazon S3.

After that, you will download the most recent file in S3 to be ingested into the Postgres data warehouse. In the end, you obtain a beautiful dashboard showing the data.

You will be learning —

AWS S3, Airflow, Pandas, Postgres, and Ploty.

Here you go — 🚀🚀

4- The FinnHub Streaming Data Pipeline

This project aims to provide real-time financial data to your users through a robust architecture.

You will be streaming data pipelines based on FinnHub.io API — a WebSocket used for real-time trading data. You will also handle the design and implementation of data architecture.

Which will handle large volumes of data in real-time.

You will be learning —

Apache Kafka, Spark, Cassandra, Kubernetes, Grafana, and more.

Here you go — 🚀🚀

5- Audiophile End-To-End ELT Pipeline

In this project, you will build, design, and manage a data pipeline.

Which is going to extract data from Crinacle’s Headphone and InEarMonitor databases and finalize data for a Metabase Dashboard. You will also perform all DAG tasks.

Which includes scraping, loading, and transforming data into a Warehouse.

You will be learning —

AWS S3, Redshift, RDS, dbt (data transformation tool), Airflow

Here you go — 🚀🚀

Big shoutout to all Authors 🚀

That’s a wrap. Enjoy ❤️

I am Uzman Ali, and I talk about data science for Tech/non-Tech folks.

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