Data

How to use dbt’s layered SQL models and DuckDB’s embedded engine to clean, normalize, and transform raw web data into analyst-ready tables.

I got tired of grepping through JSON. So I built a local search index over live Google data using Python, Typesense, and Bright Data — here's how.

How to normalize, dedupe, and fuzzy-match records that refer to the same real-world entity in Python, without a database or any ML pipelines.

How about finding a profile that doesn't require you to struggle writing thousand of lines of codes that takes you no-where, with this role, achieving multiple level growth is possible