bossymiss 🚀 5 Data Engineering Projects to start building your portfolio in 2023👨💻 Here are 5 Projects that you can add to your portfolio Find all functional links in the bio 🤘🏻 📌 1. Building Data Model and Writing ETL Job What 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: Python, SQL, Cloud Computing Basics, AWS Services (Athena, Glue, Redshift, S3, IAM), Creating Data Pipeline 📌 3. Covid Data Analysis Project What 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: 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: Python, Basics of Airflow, Working with Twitter Data and Package (Tweepy), Pandas, Writing ETL job and storing data on S3 #superai #python #data #datascience #dataengineering #dataanalysis #analytics #sql #programming
🚀 5 Data Engineering Projects to start building your portfolio in 2023👨💻 Here are 5 Projects that you can add to your portfolio Find all functional links in the bio 🤘🏻 📌 1. Building Data Model and Writing ETL Job What 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: Python, SQL, Cloud Computing Basics, AWS Services (Athena, Glue, Redshift, S3, IAM), Creating Data Pipeline 📌 3. Covid Data Analysis Project What 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: 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: Python, Basics of Airflow, Working with Twitter Data and Package (Tweepy), Pandas, Writing ETL job and storing data on S3 #superai #python #data #datascience #dataengineering #dataanalysis #analytics #sql #programming
#superai #python #data #datascience #dataengineering #dataanalysis #analytics #sql #programming
