5 Data Engineering Projects to start building your portfolio

When you’re looking for a job, what’s the first thing that an employer finds? You guessed it. The perfect profile of your resume with all the fortunate information skillfully inserted into relevant sections. Papers and certificates are not going to save you. That is why we present you five well-selected projects from real companies – in order to add to your resume.

1. Building Data Model and Writing ETL Job

What you will learn:

You will learn Python, SQL, Building Data Models, Basics of DBMS, Writing ETL Job, Querying Data Programmatically, PostgreSQL

2. ETL Pipeline on AWS Cloud

What you will learn:

You will learn Python, SQL, Cloud Computing Basics, AWS Services (Athena, Glue, Redshift, S3, IAM), Creating Data Pipeline

3. Covid Data Analysis Project

What you will learn:

You will learn Python, SQL, Building Data Model, AWS Services (Athena, Glue, Redshift, S3, IAM), Creating Data Pipeline, PostgreSQL

4. YouTube Data Analysis (End-To-End Data Engineering Project)

What you will learn:

You will learn Python, PySpark, SQL, How to understand the business problem, AWS Services (Athena, Glue, Redshift, S3, IAM, Lambda, Quicksight), Building Data Pipeline and Scheduling it.

5. Twitter Data Pipeline using Airflow

What you will learn:

You will learn Python, Basics of Airflow, Working with Twitter Data and Package (Tweepy), Pandas, Writing ETL job and storing data on S3

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