Data Engineering Mock Interview

This session is designed for engineers who want to understand real-world Data Engineering architecture beyond tutorials.

We will design or review complete systems including:

• Batch data pipelines (ETL/ELT)

• Real-time streaming architectures

• Ingestion strategy (Kafka, CDC, APIs, Files)

• Storage design (Data Lake, Lakehouse, Warehouse)

• Partitioning & performance strategy

• Orchestration (Airflow / Workflow tools)

• Scalability & cost optimization

• Failure recovery & production debugging

You can bring your own architecture problem, interview preparation scenario, or production challenge.

This is a working session — not theoretical discussion.

Limited slots per week.