PRASANNA KRISHNA

Detail-oriented and results-driven Software Engineer with a strong focus on distributed systems, databases, and large-scale cloud infrastructure. Adept at designing, developing, and optimizing fault-tolerant systems with a deep understanding of data structures, algorithms, and cloud-based database technologies. Experienced in working with high-performance distributed systems and passionate about driving innovation in scalable data management and transaction processing. Seeking an opportunity to contribute to Amazon DynamoDB’s cutting-edge distributed technology.

Distributed NoSQL Database (Personal Project)

• Developed a NoSQL database system with horizontal scaling capabilities designed to handle millions of read and write operations per second.
• Focused on implementing distributed consensus algorithms (Paxos/Raft), ensuring data consistency and fault tolerance across geographically distributed nodes.
• Integrated real-time replication and partition tolerance to ensure high system availability during network partitions.

Cloud-Based Transaction System (Academic Project)

• Designed a cloud-native transaction management system using AWS DynamoDB and AWS Lambda, aimed at supporting large-scale applications in a low-latency environment.
• Implemented features like data durability, automatic scaling, and fault recovery to optimize system performance for large datasets.

• AWS Certified Solutions Architect – Associate
• Certified Kubernetes Administrator (CKA)
• Data Structures and Algorithms Specialization (Coursera)

• Developed a Distributed Logging System: Created a fault-tolerant logging system capable of supporting 1M+ transactions per minute.
• Optimized Database Query Performance: Reduced query processing time by 40% for a large-scale cloud application by optimizing indexing and caching strategies.
• Technical Leadership: Mentored junior engineers in cloud architecture best practices, contributing to a 20% improvement in the team’s development efficiency