Anish Yadav

Software Engineer

Pratapgarh, Uttar Pradesh, India2 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Successfully migrated services to JDK 17 at Amazon.
Solved over 2500+ DSA problems using C++ and Java.
Strong expertise in both front-end and back-end development.

Stackforce AI infers this person is a Fullstack Developer with strong SaaS expertise.

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Skills

Core Skills

JavaC++AwsFront-end Development

Other Skills

SQLSpring BootTypeScriptCascading Style Sheets (CSS)JavaScriptMicroservicesData structure and algorithmSystems DesignSpring MVCAmazon Web Services (AWS)Angular MaterialAngularAngularJSJava Application DevelopmentProblem Solving

About

I have completed B.Tech in Computer Science and Engineering from MNNIT Allahabad. Currently, I am working as an SDE-1 at Amazon and previously worked at Loyalty Juggernaut Inc. I possess strong coding skills, enjoy designing algorithms, and have solved over 2500+ DSA problems, primarily using C++ and Java.

Experience

2 yrs 8 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs

Current Experience

Amazon

3 roles

Software Engineer

Jun 2025 – Oct 2025 · 4 mos

Software Engineer

May 2024 – Present · 2 yrs

Led the successful migration of TBOrchestratorServiceMainline, TBOrchestratorServiceClientConfig,
TBOrchestratorServiceJavaClient, TBOrchestratorServiceModel, TBOrchestratorAPITests from JDK 8 to JDK 17,
enhancing performance and maintainability.
Developed a new version of the table with an updated timestamp field, migrated data for Andes 3.0, and connected
the removal Order Prod table to the data crop for uploading new data and retrieving old data through written
queries
Developed an integration test for the RemovalsAdapterDataProcessorLambda, which involved ingesting data from
the beta S3 account of the RemovalsOrchestratorService pipeline, processing it through the
RemovalsAdapterDataProcessorLambda, and validating the output by comparing it with the expected results in
the beta S3 account
Configured and optimized alarms for CapacityCPUUtilization, PercentSpaceInUse, and TransmitErrors in the
TBOrchestratorServiceMainline. Removed redundant alerts and implemented optimizations that reduced
CapacityCPUUtilization from 72% to 34%