Data Engineer Needed for Lightweight Data Workflow & API Integration

Messy operational data is starting to slow down a software workflow, and I need someone who can turn it into something clean, searchable and reusable. There are about 150–200 records spread across spreadsheet rows, notes and form-style exports, with inconsistent labels, missing fields and duplicate entries. The goal is to create a Python-based workflow that standardizes fields like name, email, company, request type, category, source, date, priority and status. The cleaned output should make it easier to review the records, filter them and keep the workflow organized without manually fixing the same issues over and over. The final deliverable should include a cleaned Google Sheet or CSV, the Python script used to process the data and short setup notes so the workflow can be reused later. Experience with Python, Pandas, API integration, Google Sheets API, data cleaning or simple ETL workflows would be a good fit.