B2B catalogs, healthcare patient registries, and multi-vendor marketplaces inevitably accumulate duplicate and inconsistent records—such as "HRS" vs. "Hirose Electric Co., Ltd.", or mistyped patient names and part numbers. Resolving these variations accurately requires entity resolution, phonetic/trigram fuzzy matching, and canonical taxonomy alignment.

If you are looking to hire a freelance entity resolution, fuzzy matching, and data cleaning programmer in Python, PostgreSQL (`pg_trgm`), and Elasticsearch, I am Aldian Fazrihady.

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About the Author — Hire Freelance Programmer Aldian Fazrihady

Aldian Fazrihady is a Top-Rated Senior Freelance Programmer, Freelance Full Stack Developer, and AI Application Engineer with 15+ years of production software engineering experience and Google Cloud Professional Cloud Architect & Data Engineer certifications. He specializes in building custom LLM & autonomous AI agents, RAG pipelines, Next.js/React PWAs, Python (Django/FastAPI), Go microservices, and serverless cloud infrastructure on Google Cloud Run and AWS.

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