Data & Analytics

Conference
Attendee ETL

Engineered a robust Python data pipeline to transform complex, nested JSON attendee data into clean, structured, CRM-ready Excel reports. Automated data normalization and mapping to eliminate manual formatting and ensure seamless CRM imports

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Conference Attendee ETL
Tech Stack

Technologies Used

Built with cutting-edge technologies to ensure scalability, reliability, and performance

Python Python
Pandas Pandas
JSON JSON
Metrics

Results & Impact

Measurable outcomes that demonstrate the real-world value delivered to the client

Processed and flattened 100,000+ nested JSON records into structured Excel outputs
Reduced manual data cleaning and formatting time by 80%
Achieved 99% CRM import compatibility through standardized field mapping
Automated multi-level data extraction across 5+ nested object layers with consistent schema output

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