Data Engineering (1)

Insights into building robust data pipelines, ETL processes, and scalable architecture for modern data stacks.

Saugat Siwakoti

Stop Writing Hardcoded SQL. Build Metadata-Driven Engines.

I see too many Data Engineers manually writing the same SELECT, LEFT JOIN, and WHERE clauses for every new pipeline. If you’re copy-pasting SQL, you aren’t engineering; you’re transcribing. I’ve shifted my development workflow to a Metadata-Driven Approach using Jinja2. By decoupling the Business Logic (JSON/YAML) from the Execution Logic…

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