Data Transformation for Custom ERP Schema

I need help converting raw datasets into my custom ERP schema.
The work is mainly data cleaning, field mapping, and formatting the output into CSV/JSON that I will use for seeding into my backend system.

Your Tasks
• Parse source data (CSV / Excel / XML)
• Clean, deduplicate, and normalize fields
• Map source fields to my target schema (I will provide the mapping rules)
• Convert data types, fix inconsistencies, standardize formats
• Output final data as structured CSV/JSON ready for import

Skills Required
• Strong Python (Pandas)
• Experience with ETL or data transformation
• CSV/JSON/XML parsing
• Ability to follow a mapping specification
• Good communication and attention to detail

Deliverables
• Cleaned and mapped CSV/JSON files matching my schema
• A small Python script/notebook showing how you cleaned and transformed the data
• A short validation summary
• duplicates removed
• invalid rows collected
• missing values flagged

Ideal Candidate
• Data Engineer
• Data Analyst with Python experience
• ETL Developer
• Python freelancer good with data wrangling

Start Immediately

Share:
• your past ETL or data-cleaning work
• sample scripts or GitHub