Modern data engineering explores how design choices, lineage, and observability define the reliability and scalability of analytical systems. Across every layer — from ingestion to orchestration — data is shaped, validated, and made available for decision-making. Effective engineering balances performance with transparency, enabling systems to adapt as data grows, schemas shift, and analytical needs evolve.
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