At Ylytic Technologies, I build backend services and data systems that power campaign automation, outreach, content approvals, and publishing workflows.
I improved backend data-fetching speed by 67% with asynchronous AWS Lambda and SQS pipelines, and reduced API response times by over 50% through Flask and MongoDB query optimization. I also use Redis caching to reduce database load and improve performance.
I design centralized pipelines for Instagram, YouTube, TikTok, and Shopify, and manage Airflow DAGs for automated processing. My work spans Python, Flask, MongoDB, Docker, Azure Cosmos DB, and scalable REST APIs.
