Sandhya Suresh

Software Engineer

Bellevue, Washington, United States4 yrs 7 mos experience

Key Highlights

  • Automated customer onboarding, reducing engagement time significantly.
  • Led peak traffic management with zero downtime.
  • Achieved substantial cost savings through data optimization.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AWS and data management.

Contact

Skills

Core Skills

JavaAwsJavascriptElastic Stack (elk)

Other Skills

Cascading Style Sheets (CSS)CSSPythonAmazon Web Services (AWS)AJAXHTMLC++Logistics ManagementJava Database Connectivity (JDBC)Database AdministrationDatabase Management System (DBMS)Database DesignPython (Programming Language)C (Programming Language)

Experience

4 yrs 7 mos
Total Experience
1 yr 7 mos
Average Tenure
1 yr 4 mos
Current Experience

Netflix

Software Engineer

Jan 2025Present · 1 yr 4 mos · Seattle, Washington, United States

Google

Software Engineer

Jul 2023Dec 2024 · 1 yr 5 mos · Sunnyvale, California, United States · Hybrid

Amazon

2 roles

Software Development Engineer

Mar 2021Jan 2023 · 1 yr 10 mos · California, United States

  • Designed and automated customer onboarding and AWS infrastructure setup to handle log storage and indexing that reduced oncall engagement from 2 hours per customer to 10 minutes.
  • Led the tasks for handling Q4 peak traffic which included collaboration with 40 teams with daily traffic more than 100 million requests, led their service migration with 0 downtime, scaled up AWS infrastructure to handle peak traffic.
  • Created a CLI command to migrate and delete logs based on multiple parameters to comply with security policies as the existing feature only deleted complete index data from AWS Elasticsearch based only on date range.
  • Developed an intuitive, user-friendly UI for service onboarding with intensive client side validation using JavaScript and leveraged Amazon’s ticketing API to collaborate with customers, saving 750 minutes of SDE time per month.
  • Automated ticket creation to descale AWS Elasticsearch clusters and enable AWS Ultrawarm in customer AWS accounts based on Elasticsearch metrics, reducing cost by 25%.
  • Guided 6 engineers on product architecture, development and deployment and mentored two engineers along with managing their day-to-day tasks.
  • Successfully took up approximately 25 weeks of oncall shifts and solved around 250 customer issues.
  • Improved customer experience by prettifying JSON logs on the product’s dashboard on a button’s click which enhanced the log readability
JavaCascading Style Sheets (CSS)AWS

Software Development Engineer Intern

May 2020Aug 2020 · 3 mos · Santa Clara, California, United States

  • Worked on leveraging Ultrawarm in customer AWS accounts by moving data from hot to warm Elasticsearch nodes.
  • Researched time to move data by using REST APIs on Kibana and improved time to move from 30 hours to 6 hours.
  • Reduced annual cost by $1MM for Alexa Excellence by optimizing Elasticsearch data storage.
JavaElastic Stack (ELK)

Zensar technologies

Project Intern

Jun 2018Jul 2018 · 1 mo · Mumbai Area, India

Education

The Ohio State University

Master's degree — Computer Science

Jan 2019Jan 2020

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology - BTech — Computer Engineering

Jan 2015Jan 2019

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