I will clean excel data format csv and remove duplicates
''Crafting Quality, Delivering Results''
Über diesen Service
Struggling with messy Excel data, duplicate records, or CSV files that Shopify or your CRM rejects?
Dirty data causes failed imports, wasted marketing spend, and endless manual work. I will clean, standardize, deduplicate, and format your Excel and CSV datasets into structured, upload-ready databases with 100% accuracy.
What I Do For You:
Data Cleaning & Formatting: Remove extra whitespace, fix erratic casing (Proper/Title Case), and repair corrupted characters
Remove Duplicates: Purge exact and fuzzy duplicate rows while preserving the most complete records
Text to Columns: Split full names into First/Last and parse single-cell addresses into Street, City, State, and Zip Code
E-Commerce & CRM Prep: Format CSV files for seamless upload into Shopify, Amazon, HubSpot, Salesforce, or Klaviyo
Merge Multiple Sheets: Consolidate multiple CSVs or Excel workbooks into a single master database
Why Choose Me?
100% Data Integrity: Zero missing rows, zero accidental data loss, and preserved leading zeros on Zip codes
Fast 2-Hour Turnaround: Handle datasets from 500 to 100,000+ rows rapidly
Strict Confidentiality: Client data is processed securely and deleted post-delivery
Mein Portfolio
FAQ
Q: Can you format my CSV file so it uploads into Shopify or HubSpot without errors?
A: Yes. Let me know your target platform (Shopify, Amazon Seller Central, HubSpot, Salesforce, Klaviyo, Mailchimp, etc.). I will align your columns to the platform’s exact header specifications and export in UTF-8 CSV format to prevent upload errors.
Q: Will Excel delete the leading zeros from my Zip Codes or Phone Numbers?
A: No. I explicitly protect and format zip codes, phone numbers, EINs, and tracking IDs as text strings so leading zeros (e.g., 07030) are preserved.
Q: How do you handle duplicate records if the rows have slightly different information?
A: I perform smart deduplication. If multiple rows share the same Email or Phone number, I merge them to keep the row with the most complete information, ensuring no valuable client details are lost.
Q: Can you split messy, single-cell addresses into separate columns?
A: Yes. I parse combined address fields into distinct columns: Street Address, City, State (standardized to 2-letter postal codes), and Zip Code.
Q: Is my customer and business data kept secure and confidential?
A: Absolutely. I maintain strict data confidentiality. Your datasets are processed in isolated local environments and permanently purged immediately after your order is completed. NDAs are signed upon request.

