Naman Nandana

Software Engineer

Seattle, Washington, United States1 yr 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in backend engineering and distributed systems.
Proven track record in cloud computing and data engineering.
Strong focus on reliability and scalability in cloud systems.

Stackforce AI infers this person is a Backend-heavy Cloud Computing Engineer with expertise in Data Engineering and Distributed Systems.

Contact

Skills

Core Skills

Amazon Web Services (aws)Distributed SystemsC#DatabasesSoftware DevelopmentCloud ComputingData EngineeringData Visualization

Other Skills

JavaBackend EngineeringAgile MethodologiesPostgreSQLJenkinsGitPythonAWS GlueAWS MapReduceSnowflakeETLAWS RedshiftAWSGCPTableau

About

I’m a Software Engineer at Amazon Web Services (AWS), working on the Amazon Neptune Control Plane team, the layer that keeps AWS’s managed graph database service reliable and scalable across regions. I focus on backend engineering and distributed systems, building Java-based APIs and automation that support Neptune and Neptune Analytics worldwide. I’m especially interested in reliability, scalability, and the design of resilient cloud systems. I completed my Master’s in Information Technology at Arizona State University, where I specialized in cloud computing and large-scale architectures. I’m always keen to connect with others who are passionate about distributed systems and cloud reliability.

Experience

1 yr 7 mos

Total Experience

9 mos

Average Tenure

10 mos

Current Experience

Amazon web services (aws)

Software Development Engineer

Aug 2025 – Present · 10 mos · Seattle, Washington, United States

JavaAmazon Web Services (AWS)Distributed SystemsBackend Engineering

Arizona state university

Teaching Assistant

Jan 2025 – May 2025 · 4 mos · Tempe, Arizona, United States

Mesh

Software Engineer Intern

May 2024 – Aug 2024 · 3 mos · San Francisco Bay Area

● Developed and maintained backend services and APIs in an Agile environment using C#/.NET for various features, ensuring high performance and responsiveness and improving performance metrics by 10%.
● Spearheaded development of the sandbox environment in close collaboration with cross-functional teams using C#/.NET, enabling future clients to experience and test our product effectively, leading to 15% higher customer conversion rates.
● Enhanced API performance by optimizing PostgreSQL configuration, implementing strategic indexing strategies and configuring efficient replication, resulting in a 10% improvement.
● Established and maintained CI/CD pipelines using Jenkins and Git, implementing automated testing and deployment processes that reduced release cycles by 20%.

C#DatabasesAgile Methodologies

Cognizant

2 roles

Software Engineer

Sep 2022 – Jun 2023 · 9 mos · Bengaluru, Karnataka, India

● Architected and implemented end-to-end Data systems using C# and Python integrating AWS Glue, AWS MapReduce, and Snowflake for processing large-scale datasets of 100+ million records daily with 99.9% accuracy.
● Built backend systems orchestrating ETL workflows supporting analytics and monitoring, generating business insights and reports.
● Implemented data warehouse performance optimizations to AWS Redshift allowing for 15% reduced warehousing costs.
● Worked in close collaboration with business stakeholders and analysts aligning data development with business requirements.

C#PythonAWS GlueAWS MapReduceSnowflakeCloud Computing+1

Cloud data Intern

Mar 2022 – Sep 2022 · 6 mos · Bengaluru, Karnataka, India

● Implemented multi-cloud solutions leveraging both AWS and GCP building microservices in C# for data integration and processing.
● Created interactive dashboards using Tableau and PowerBI for real-time data visualization and monitoring.
● Designed serverless workflows using GCP Cloud Composer and AWS Step Functions, improving data processing efficiency by 25%.

AWSGCPTableauPowerBICloud ComputingData Visualization