Niketan Chandarana

Software Engineer

United States2 yrs 2 mos experience

Key Highlights

Expert in building scalable backend infrastructures.
Proven track record in reducing operational errors.
Strong foundation in algorithms and data structures.

Stackforce AI infers this person is a Backend Software Engineer specializing in SaaS solutions.

Contact

Skills

Core Skills

Python (programming Language)Continuous IntegrationAws Lambda

Other Skills

Continuous Delivery (CI/CD)DynamoDBAlgorithmsData StructuresJavaObject-Oriented Programming (OOP)JavaScriptGitLabDeep LearningMachine LearningProblem SolvingSplunk IT Service Intelligence (ITSI)Back-End Web DevelopmentSoftware Development Life Cycle (SDLC)Software Deployment

About

A Master of Computer Science graduate, experienced Software Engineer, and an ardent problem solver with a keen interest in developing robust backend infrastructures and scalable systems. I enjoy taking on challenges that push the boundaries of my knowledge in building efficient and reliable systems.

Experience

2 yrs 2 mos

Total Experience

11 mos

Average Tenure

4 mos

Current Experience

Google

Software Engineer

Feb 2026 – Present · 4 mos · Sunnyvale, CA

Mission to psyche

Software Programmer

Jan 2023 – Dec 2024 · 1 yr 11 mos · Tempe, Arizona, United States · Hybrid

Psyche is the NASA space mission to visit "16 Psyche" asteroid, led by Arizona State University.
https://psyche.asu.edu

Splunk

2 roles

Software Engineer (E2)

Apr 2022 – Jul 2022 · 3 mos

•Engineered a Maintenance Window API service using Go and DynamoDB, replacing manual processes and establishing a single source of truth for over 10,000 customers, reducing manual errors by 90% and improving operational efficiency.

Python (Programming Language)Continuous IntegrationContinuous Delivery (CI/CD)

Software Engineer (E1)

Jun 2021 – Apr 2022 · 10 mos

Implemented a real-time Pub/Sub system using DynamoDB streams and AWS Lambda ensuring timely dissemination of critical record changes to DSAs/DSSs eliminating update latency by 99%.
Created a scalable scheduler leveraging AWS SQS and SNS reducing service initiation delay by 50% during maintenance windows.
Architected a Communications Dispatcher to serve over 10,000 customers using AWS SES, dual priority queues system with retry mechanism reducing manual communication efforts by 100%.
Established robust monitoring and auto-recovery mechanisms, using real-time alerts, ensuring smooth operations and reducing mean time to recovery (MTTR) by 60%.

Python (Programming Language)Continuous IntegrationContinuous Delivery (CI/CD)