I will do data cleaning and validation for your dataset

With 4.5+ years of experience in data quality assurance and ETL validation including large-scale data reconciliation projects handling 1M+ records I help businesses, researchers, and analysts turn messy datasets into clean, structured, and reliable data.

What I can do for you:

Remove duplicate records and inconsistent entries

Correct errors, typos, and mismatched formats

Standardize columns, headers, and data types

Handle missing values and blank fields

Validate data accuracy against source files

Deliver clean output in Excel, CSV, or your preferred format

Tools & skills I bring:

SQL (complex queries, window functions) · Python · Excel · PySpark · Databricks

Why work with me:

• Background in enterprise-level ETL and data validation testing (life sciences domain)
• Careful, detail-first approach I flag data issues rather than silently guessing
• Clear communication and on-time delivery
• Happy to walk you through what was changed and why

Perfect for: spreadsheets with duplicate/inconsistent entries, survey or form data exports, CRM/sales data cleanup, research datasets, or any dataset that needs to be validated before analysis.