Ravi Raizada

• Engineered robust, scalable, and modular API-centric infrastructures, increasing system uptime to 99.98% and reducing failure rates by 30%.
• Architected technology solutions that improved system performance by 40%, reducing API response time from 500ms to 300ms, supporting 1M+ daily requests.
• Leveraged ELK stack to store and analyze customer data, providing insights that increased business efficiency by 20%.
• Implemented Event Driven Architecture using Kafka and REST API, enhancing system responsiveness and scalability.
• Led migration of 10TB+ data from ELK to Hadoop and Druid, improving query speed by 3x and reducing storage costs by 25%
• Built data pipelines using Spark and Airflow for processing data in Hadoop, reducing ETL processing time by 50% and enabling real-time analytics for 100K+ events per second.
• Mentored 5 junior developers, leading to a 25% reduction in onboarding time and a 15% increase in code quality through best practices and code reviews.
• Revamped and refactored the codebase, cutting technical debt by 40% and enhancing application performance, resulting in a 25% faster execution time.

• Led the transition of over three monolithic applications to a microservices-based architecture, accelerating deployment cycles by 40% and tripling system scalability.
• Collaborated with clients to gather site and app requirements, producing actionable development plans.
• Juggled multiple functions and roles to meet tight deadlines and organizational goals.
• Led full SDLC for 3+ enterprise applications, reducing bug resolution time by 25% through structured development and testing processes.
• Integrated Behavior-Driven Development (BDD) using Rest Assured, increasing test automation coverage by 40% and reducing regression bugs by 30%.
• Migrated 3+ critical applications from on-premises to GCP, reducing infrastructure costs by 20% and improving deployment agility.

• Engineered a high-performance microservice for SFTR Trade reporting, processing 500K+ transactions daily, ensuring 100% compliance with regulatory standards and reducing reporting errors by 30%.
• Designed and deployed a CI/CD pipeline on Jenkins, reducing deployment time by 60%, enabling automated rollbacks, and supporting zero-downtime releases.
• Orchestrated production deployments multiple times, managing upgrade steps and mitigating failure scenarios.

• Built a Custom Hooks Framework using Rhino Script Engine API, enabling admin users to configure operations on-the-fly , improving system flexibility.
• Revamped the Import-Export module using parallel processing, cutting multi-sheet import time by 50% and improving execution speed.
• Enhanced system performance by 40% through improvements such as lazy loading of JS files, WebSockets for real-time updates, and intelligent caching mechanisms, reducing server load and boosting response times.

• Thesis: FRAUD REVIEWS DETECTION SYSTEM TO ENHANCE THE CUSTOMER PURCHASE DECISIONS

GPA: 8.8