I will build custom python pandas scripts to fix CSV xlsx data pipelines

T
tina_joon09
T
tina_joon09
Tina Kim
build custom python pandas scripts to fix CSV xlsx data pipelines
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build custom python pandas scripts to fix CSV xlsx data pipelines

About this gig

Welcome to my professional data-cleaning division! 


Do you have messy spreadsheets, unformatted databases, or broken text rows slowing down your business workflows? I specialize in writing custom Python scripts to automate data purification and structural sanitization with zero hassle.


What I clean and optimize for your business:

 - Invisible whitespace removal and text trim processing (.strip())

 - Database format normalization and duplicate row extraction

 - Relational database connections (sqlite3) and advanced filtering queries

 - CSV, Excel, TXT, and JSON data transformations


I deliver clean, execution-ready code and optimized files tailored to your parameters. Let's optimize your enterprise files today! 


Best regards,

KimTina (tina_joon09)



  • Programming language

    • Python

  • Expertise

    • Algorithms & Data structures
    • Debugging
    • Performance
    • Databases
    • Testing procedures

  • Frontend framework

    • Tkinter
    • Streamlit

  • Backend framework

    • Django
    • FastAPI
    • Flask

Get to know Tina Kim

Tina Kim

Tina Automation

  • FromUnited States
  • Member sinceAug 2026
  • Avg. response time1 hour

  • Languages

    English
Welcome to my software and database infrastructure hub. I am an Independent Software Engineer specializing in data purification and pipeline modernization. Enterprise environments cannot afford malformed strings or whitespace static. I build production-grade Python automation using Pandas, OpenPyXL, and regex to ingest corrupted .csv/.xlsx streams and sanitize schemas before storage. • STACK: Python (Pandas, OpenPyXL, re, NumPy, sys) • SPECIALIZATION: Logistics list purification, dynamic runtime validation, database staging optimization. Let's build clean solutions today.

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