Gaurav Dubey

SDE 2

• Mentored junior developers on best practices in scalable service design and effective debugging, leading to a 30% increase in deployment efficiency across microservices. • Designed a failover mechanism for critical microservices, achieving 99.99% availability during peak traffic periods. • Coordinated with cross-functional teams to create a seamless process enabling legacy systems to make over 1 million API calls daily, improving system uptime by 10% and ensuring efficient data processing. • Facilitated brainstorming sessions to overcome technical roadblocks, reducing delivery timelines by 10% and fostering a culture of collaboration and innovation within a team.

SDE 1

• Spearheaded migration of 25M+ records from legacy systems to a high-performance back-end for major e-commerce clients, decreasing data transfer errors by 15% and improving query response time by 20%. • Designed and deployed scalable data pipelines leveraging Apache Storm, achieving a sustained throughput of over 2K (tps) with 99.9 percent reliability while reducing latency by 25%. • Enhanced data pipelines for precise mapping, reducing overall data processing time by 30% and decreasing data anomalies by 12%, which accelerated business insights and improved operational efficiency. • Built and implemented comprehensive logging and monitoring mechanisms using tools like Grafana and Data Dog, cutting issue resolution time by 20% and enabling real-time pipeline performance tracking. • Resolved critical production issues in collaboration with team members and stakeholders, addressing 95% of incidents within SLA timelines and boosting operational reliability by 18%.

SDE Intern

• Architected a robust, opinionated Java framework leveraging Spring Boot, Hibernate, Servlet, and Kafka, reducing development time for microservices by 35% across the organization. • Developed modular components to streamline integration with databases like Cassandra, MySQL, PostgreSQL, MongoDB, and Redis, cutting onboarding time for new services by 25% and improving database compatibility by 40%. • Engineered reusable abstractions and utilities, improving code maintainability and eliminating 30% of boilerplate, which boosted team productivity by 15%. • Optimized framework architecture to ensure scalability and fault tolerance, enabling the system to handle up to 5,000 requests per second across distributed systems without service interruptions. • Facilitated brainstorming sessions to overcome technical roadblocks, reducing delivery timelines by 10% and fostering a culture of collaboration and innovation within a team. • Streamlined testing processes by developing reusable JUnit templates, boosting test coverage by 25% and reducing debugging time by 15%.

Data Structures and Algorithms, DBMS, Operating Systems, Design Patterns, SDLC