Nikhil Yadav

Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Key Highlights

Expert in software implementation and systems analysis.
Proven track record in enhancing financial technologies.
Strong background in developing scalable applications.

Stackforce AI infers this person is a Fintech and Retail Tech software engineer with strong expertise in scalable application development.

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Skills

Core Skills

Software ImplementationSystems AnalysisSoftware Development

Other Skills

Acceptance TestingAdapterAlgorithmsAmazon Elasticsearch ServiceAmazon Web Services (AWS)Analytical SkillsApache KafkaAssisting OthersBehavior-Driven Development (BDD)Bug TrackingBusiness RequirementsBusiness SolutionC (Programming Language)C++CICS

About

At Goldman Sachs, our team leverages my expertise in software implementation and systems analysis to enhance financial technologies. My educational foundation from NIT Kurukshetra in Electronics and Communications Engineering underpins my technical acumen. Previously at Lowe's India, we developed applications balancing user accessibility with technical robustness. This journey reflects my dedication to evolving within the tech landscape, affirming my commitment to innovation and quality in the realm of software engineering.

Experience

4 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

1 yr 11 mos

Current Experience

Goldman sachs

Associate (SDE2)

Jul 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Collaborated with cross-functional teams to enhance margin lending processes in asset and wealth management.
Developed innovative solutions for diverse asset classes, significantly boosting operational efficiency.
Built robust data pipelines consolidating data from multiple sources, improving data accessibility.
Upgraded applications to the latest Spring Boot versions and deployed on Kubernetes, utilizing Java, Kafka, and MongoDB.

Software ImplementationSystems AnalysisJavaSpring BootKubernetesKafka+1

Lowe's india

2 roles

Software Engineer

Promoted

Aug 2023 – Jul 2024 · 11 mos

Developed a demand forecasting tool for Lowe's supply chain, enhancing replenishment accuracy across all stores.
Utilized Java, Spring Boot, and Kubernetes to build scalable and efficient applications.
Implemented Redis for caching and PostgreSQL for robust data management, improving system performance.
Collaborated with cross-functional teams to gather requirements and deliver impactful features.

JavaSpring BootKubernetesRedisPostgreSQLSoftware Development