Sonu Kumar

Developed comprehensive loyalty systems utilizing Python, Django, NodeJS, Java, and Airflow. Leveraged the strengths of each technology and deliver scalable solutions, resulting in a 100% user base growth. Migrated the project to Django (4.0), ensuring seamless compatibility while significantly enhancing performance and addressing security vulnerabilities for a more secure and efficient application which reduce the 50% security glitches. Utilized Engineered a robust, scalable data retrieval platform from Redshift using SQLAlchemy. reduced query retrieval time by 65% and increased data analysis efficiency by 50%. Led a transformative initiative to optimize and streamline the Loyalty Process, leveraging Celery or Celery Beat to automate time-consuming tasks and significantly improve 60% operational efficiency. Revamped API performance by implementing asynchronous calls, significantly reducing latency. Realized a remarkable reduction of over 70% in database query execution time, optimizing the overall system. Designed High-Level Design (HLD) and Low-Level Design (LLD) specifications, integrating NodeJS with MongoDB to manage and store all request logs effectively. Ensured handling and storage of logs, enabling efficient retrieval. Migrated a large-scale table with more than 300 million records during Database transition from DynamoDB to PostgreSQL, ensuring seamless data transfer and maintaining data integrity.

Designed and implemented healthcare outreach solutions utilizing Python, Django, Flask, PostgreSQL, and MongoDB aiming to create a highly efficient system with a 100% success rate. Implemented resource-intensive task optimization by utilizing Celery and Celery Beat to kick off asynchronous processes, resulting in a remarkable user experience improvement of over 50%. Improved code efficiency by 80% via precise LLD modifications, improving performance and maintainability. Restructured project code-base using HLD, transitioning from monolithic to scalable micro-services. Conceived an efficient micro-service that monitors the health of workers and brokers, alerting the team about any issues detected. This solution resolves 90% of the team’s problems. Resolved throttling issues, increasing MS Flow’s iteration capability from 1000 to 5000 per minute. Optimized workflow execution to enhance productivity and efficiency.

12th and 10th-grade