A few months ago, I attended a Google Cloud Developers Meetup, which inspired me to learn new things.
Recently, I finished reading book Fundamentals of Data Engineering by Joe Reis. This motivated me to expand my skills and experiment with new ideas in a lab project.

I already have some data-related skills, but lately, I've been focusing on modern data stack:

• I have successfully completed the Google Cloud Digital Leader training, focusing on foundational GCP concepts and preparing for further cloud certifications.
• Learning Apache Airflow (PythonOperators, SSHOperators etc.)
• Exploring DBT
• Revisiting Liquibase (I used it a few years ago, so I just need a quick refresher)
• Apache Superset