B2B SaaS platforms where enterprise customers onboard messy 100,000-row Excel/CSV spreadsheets—or expect Excel-grade keyboard navigation inside the browser—frequently search to hire a freelance AG Grid Enterprise, TanStack Table & AI CSV/Excel schema-mapping programmer. I am Aldian Fazrihady, a Senior Freelance Full Stack Developer and AI Application Engineer.

Core Enterprise Data Grid & Smart Spreadsheet Ingestion Capabilities

  • AI-Assisted Column Mapping & Data Cleaning: Automatically mapping arbitrary customer CSV headers (`Cust_FName`, `DOB_str`, `Amt ($)` ) to your canonical database schema using LLM header/sample inference plus vectorized Polars/Zod row validation.
  • High-Performance AG Grid & Virtualized React Spreadsheets: Implementing Server-Side Row Model (SSRM), cell range selection, clipboard copy/paste from Excel, Undo/Redo, sparklines, and custom cell editors at 60 FPS.
  • Streaming PostgreSQL `COPY` Bulk Ingestion: Inserting 500,000+ validated rows in seconds using PostgreSQL binary `COPY` staging tables and `ON CONFLICT DO UPDATE` upserts.

Frequently Asked Questions

How do you let users fix invalid rows in a 50,000-row CSV upload without re-uploading the whole file?

Our import pipeline streams validation results back to an interactive in-browser error grid where users filter to "Invalid Rows Only," edit cells inline or apply bulk find-and-replace rules, and commit clean records immediately.

How do I hire you for AG Grid or bulk data import engineering?

Hire me via Upwork.


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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