Data Engineering Insights

A detailed comparison of Airflow and Azure Data Factory for orchestrating data pipelines. Pros, cons, and when to use each.

What is DBT, why it matters, and how it fits into modern data engineering workflows. A beginner-friendly guide.

When to use Snowflake, when to use Databricks, and how they can work together in a modern data platform.

A day in the life of a data engineer. Real responsibilities, challenges, and what companies expect.

Portfolio projects that actually impress recruiters. What to build and how to present your work.

Step-by-step guide to building a production ETL pipeline with error handling, logging, and monitoring.

Understanding data warehouse layers and how to implement them with DBT for clean, maintainable data models.

What to expect in DE interviews, common questions, and how to practice effectively.

The gap between what courses teach and what companies need. How to learn data engineering effectively.