ULLAS ZINGADE

Data Engineering

• Architected scalable data models and Python automation scripts for high-volume data ingestion into Apache Solr and AWS S3
• Led technical migration of 100+ enterprise clients from Skillate to Sense platform with zero downtime or deployment issues
• Reduced cloud infrastructure costs by $9K/month through server consolidation and resource optimization

Backend Development

• Implemented instrumentation stack (Datadog, Grafana, Loki, and Sentry) for improved monitoring
• Reduced on-call support by 30% through critical bug fixes & OpsGenie automation

Backend Development

• Integrated with external HRMS systems (DarwinBox, SuccessFactors, Taleo, LinkedIn)
• Implemented Scheduled Email Reminder feature using cron jobs Engineered microservices for third-party background verification tools (Checkr, Ongrid) integration

Frontend Development

• Redesigned admin portal UI/UX & user permissions system for improved UX
• Established frontend architecture standards using Chakra UI component library

• Developed production-grade REST APIs using Flask framework
• Built asynchronous event-driven workers using RabbitMQ
• Successfully migrated legacy Python 2.7 codebase to Python 3.7

• Developed data processing pipeline for industrial machine sensor data
• Developed data processing functionality for mechanical machines