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Rinky Fulwani
Senior Full-Stack Software Engineer specializing in cloud-native serverless systems
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Backend engineer who built a Node.js + SQL service integrating with the Google Ads API to periodically upload online and offline conversions via Azure Logic Apps, persisting upload records for ROI reporting. Implemented PII hashing, token validation, redundancy, and detailed failure/status logging for reliability and debuggability. Currently scoping an LLM/agent workflow (likely LangChain) to let marketing bulk-update e-commerce product data using SEO keywords without developer involvement.
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Key Strengths
- Built production endpoint to upload offline + online conversions to Google Ads and persist uploads for reporting
- Handled sensitive user data by hashing PII before sending to Google Ads and using token validation
- Improved reliability via redundancy (3 parallel Azure Logic App instances) and scheduled daily execution
- Implemented robust error logging with per-conversion status and failure reasons plus clear error messages for upstream debugging
- Designed reporting-focused relational data model with indexes; uses execution plans to diagnose SQL performance
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