Divyendu Shekhar

Contributed as a Backend Engineer within the platform team, specializing in the development of Spring (Java) based microservices catering to user authentication, authorization, and identity management. Supported over 50 business units across the organizational spectrum. Orchestrated the design and execution of an asynchronous, queue-driven architecture leveraging AWS SQS and SNS. This system facilitated the seamless migration of 40 million user data records across disparate systems, ensuring stringent data consistency and integrity throughout the migration lifecycle. Streamlined and automated the manipulation of product SKUs within the Oracle database utilizing Python scripts and SQL queries. This initiative dramatically slashed turnaround time from 7 days to a mere 24 hours, significantly enhancing operational efficiency. Pioneered the development of Python scripts and Jenkins pipelines tailored for the detection and mitigation of API configuration errors, yielding a remarkable 76% reduction in configuration-related issues. Devised and implemented an advanced system for the detection and mitigation of Distributed Denial-of-Service (DDoS) attacks, incorporating CAPTCHA validation and rate-limiting mechanisms. This initiative significantly fortified system resilience and availability in the face of adversarial cyber threats.

Led the development and engineering efforts for a comprehensive full-stack software solution tailored for a prominent client operating within the energy sector, aimed at effectively managing power grids. Architected and implemented a robust backend utilizing Spring (Java) and Python, integrated with PostgreSQL, to automate fault detection, performance monitoring, and service uptime tracking within the power grid management ecosystem. Designed and implemented a sophisticated graph-based user interface utilizing React.js, enabling seamless manipulation and interconnection of power grid elements including transformers and powerlines. Drove meticulous testing, quality assurance, and performance optimization initiatives utilizing industry-standard tools such as JMeter and JUnit.