Individuals with ETL experience should acquire strong skills in programming (e.g., Python or R), statistical analysis, and machine learning. Knowledge of data manipulation, data cleaning, and feature engineering are essential, along with the ability to work with large datasets and apply data modeling techniques. Additionally, a solid understanding of data visualization and business acumen is crucial to succeed in a Data Science role. If you are interested in getting into this field then check out this video about Mohanaraj, and how he upskilled from ETL to Data Science with the help of Intellipaat’s Advanced Certification in Data Science and AI.