Data Architects or Engineers, beginner or expert, there are several key skills and areas of knowledge that we should focus on to succeed in our field. We should have a solid understanding of database design principles, including data modeling, normalization, indexing, and query optimization to design efficient, scalable, and well-organized databases. Understanding of data warehousing and ETL (Extract, Transform, Load) tools is essential and use these tools to efficiently move data from source systems to target systems.

Big data technologies such as Hadoop, Spark, and NoSQL databases are becoming increasingly important in the world of data engineering. We should be familiar with these technologies and understand how they can be used to store, process, and analyze large volumes of data. Data architects and engineers often need to write code to automate processes or manipulate data. This is a Data Engineer's journey from Zero to Hero. Ignore Imperfections!