Data Systems Design Mentoring with Kanhu Charan Mishra

Work through a public, personal, or hypothetical data engineering problem. Explore batch versus streaming, data modelling, orchestration, reliability, and cost/performance tradeoffs across Spark and cloud data platforms.

Takeaways: a clearer design approach and prioritised learning actions. This is educational mentoring, not production implementation.

Before the call: prepare a sanitised problem statement. Do not share confidential diagrams, source code, credentials, customer data, or employer documents.

Sessions are in my personal capacity, without employer endorsement. No access to employer systems or confidential materials is provided.