Career Track: Professional Data Engineer in Python

Dive deep into advanced skills and state-of-the-art tools revolutionizing data engineering roles today with DataCamp Professional Data Engineer track.

📌 Learning is in progress, for now working on Docker course

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✅ Understanding Modern Data Architecture

✅ Introduction to Shell

✅ Containerization and Virtualization Concepts

✅ Introduction to dbt

✅ Introduction to Object-Oriented Programming in Python

✅ Introduction to NoSQL

✅ DevOps Concepts

✅ Introduction to Testing in Python

✅ Project: Debugging a Sales Data Workflow

✅ Introduction to Docker

✅ Getting to know PySpark

✅ Manipulating data

✅ Big Data Fundamentals with PySpark

✅ Programming in PySpark RDD’s

✅ PySpark SQL & DataFrames

✅ Project: Cleaning an Orders Dataset with PySpark

✅ Downloading Data on the Command Line

✅ Data Pipeline on the Command Line

✅ Streaming Concepts

✅ Introduction to Apache Kafka

✅ Introduction to Kubernetes