Multi-Source Data Conversion Task
Budget: $15 – $25 USD
I have a collection of datasets that originate from three places—websites, online databases, and several social-media accounts I manage. Each source already lets me download or export the information, but every file arrives in a different structure and extension. I now need everything converted into a single, uniform format so that I can feed it straight into my internal reporting tools without additional cleanup.
Here’s what I will hand over:
• The raw exports or downloads from the websites, database dumps, and social-media insights.
• Simple field-mapping notes that show how each column or attribute should be labelled in the final file.
What I expect back:
• One consolidated, clean file (CSV or another widely supported format we agree on) that preserves all records and matches the field map exactly.
• No data loss, no duplicated rows, and consistent encoding so special characters remain intact.
If you are comfortable handling structured and semi-structured data, can spot and fix inconsistencies on the fly, and can turn this around quickly, let’s get started.
Here’s what I will hand over:
• The raw exports or downloads from the websites, database dumps, and social-media insights.
• Simple field-mapping notes that show how each column or attribute should be labelled in the final file.
What I expect back:
• One consolidated, clean file (CSV or another widely supported format we agree on) that preserves all records and matches the field map exactly.
• No data loss, no duplicated rows, and consistent encoding so special characters remain intact.
If you are comfortable handling structured and semi-structured data, can spot and fix inconsistencies on the fly, and can turn this around quickly, let’s get started.
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