🔹 🔥 Pro Tips for Aspiring Data Engineers

1. Learn SQL deeply – it's still the foundation of everything
2. Understand data formats: JSON, Parquet, Avro, ORC
3. Master Apache Spark — it's everywhere
4. Learn to use Airflow for orchestrating workflows
5. Practice writing ETL pipelines — build your own mini data warehouse
6. Get comfortable with cloud platforms (start with AWS/GCP free tiers)
7. Version-control your work using Git + DVC for data versioning
8. Learn Docker & Kubernetes basics — modern data infra depends on it
9. Explore real-time processing: Kafka, Flink, and Spark Streaming
10. Follow best practices for data modeling — star/snowflake schemas, SCDs, etc