Manish R.

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

Key Highlights

Proven expertise in developing scalable microservices.
Strong background in data engineering and ETL processes.
Effective problem solver with a focus on user experience.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and E-commerce solutions.

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Skills

Core Skills

Spring BootData EngineeringAwsFlaskApi Development

Other Skills

AWS LambdaAirflowAmazon Web Services (AWS)Azure Cosmos DBC (Programming Language)C++Code GenerationCommunicationComputer ScienceContinuous Delivery (CD)Core JavaCritical ThinkingCss3Data StructuresData structures & Algorithms

About

As a computer science graduate from Chandigarh University, I am passionate about problem-solving and intuitive solutions. I have earned multiple certifications from HackerRank in problem-solving, data structures and algorithms, and Python, demonstrating my proficiency and expertise in these domains. I am currently working as an SDE 1 at Amazon in Amazon Fashion, where I contribute to the development and maintenance of various software products and features. I have gained valuable experience in working with technologies such as Springboot, AWS DynamoDB, Lambdas, Glue, SQS, etc and collaborating with diverse and talented teams. I am always eager to learn new skills and take on new challenges, and I aspire to grow and succeed in a competitive and innovative environment.

Experience

4 yrs 3 mos

Total Experience

1 yr 2 mos

Average Tenure

7 mos

Current Experience

Microsoft

Software Engineer 2

Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India

Walmart global tech india

Software Engineer III

Mar 2024 – Sep 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Spearheaded the development of the Enterprise Commodity Intelligence Platform (ECIP), a distributed system
of 4+ Spring Boot microservices and a scalable API hub to deliver commodity insights to sourcing teams.
Delivered a 2% reduction in private brand sourcing costs by integrating
predictive pricing analytics and cost intelligence into sourcing workflows.
Built ETL pipelines using PySpark and Airflow to ingest and standardize data from 7+ global providers, enabling
structured, real-time intelligence across 400,000 items, 120+ countries, and 5,000+ factories.
Designed a multi-tenant user preference microservice using Spring Boot and Azure Cosmos DB, enabling flexible
onboarding for multiple merchandising and sourcing modules with schema-level isolation.
Enabled data-driven supplier negotiations and contract optimization through delivery of item-level cost breakdowns
and historical price visibility via web dashboards and embedded APIs.
Implemented forecasting capabilities and proactive alerts for commodity price and supply chain risks, enhancing
risk management and procurement planning across Walmart’s global operations.

Spring BootAzure Cosmos DBPySparkAirflowREST APIsData Engineering

Amazon

SDE 1

Sep 2022 – Mar 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

Designed and implemented a Navigational Widget offering seamless navigation across product categories on Amazon Fashion Browse pages using Spring Boot.
Designed and developed a configuration portal for the Navigational Widget using AWS Lambda & Vue.js.
Automated AWS resource creation using CDK in TyepeScript, cutting manual efforts and ensuring consistency and scalability.
Revamped and modernized a critical set of widgets utilized in Browse pages, enhancing their aesthetics and user interface.
Implemented data pipeline using ETL tools with Scala and MySQL to gather and store information in S3 buckets.

Spring BootAWS LambdaVue.jsTypeScriptETLAWS

Riverbed technology

2 roles

Member Of Technical Staff

Jan 2022 – Sep 2022 · 8 mos

Designed and Implemented a RESTful API for an enterprise networking product using Flask, optimizing its
configuration process and reduction in setup time.
Created Jenkins pipelines enabling comprehensive CI/CD for the API with versioned artifacts and test reports.
Executed migration from PHP to Flask-based REST API backend, optimizing performance and introducing
automation capabilities.

FlaskJenkinsREST APIsAPI Development

Member Of Technical Staff

Sep 2021 – Jan 2022 · 4 mos

Implemented a RESTful API for an enterprise networking product, optimizing configuration processes and
reducing manual efforts.
Created a robust unit testing framework for the API, testing both existing and newly developed features.

REST APIsUnit TestingAPI Development