Nikita Kathare

Software Engineer

Bengaluru, Karnataka, India7 yrs 4 mos experience

Highly Stable

Key Highlights

Engineered high-performance Elasticsearch query engine.
Developed automated data migration pipelines improving efficiency.
Skilled in Java, Spring Boot, and Microservices.

Stackforce AI infers this person is a Backend Software Engineer specializing in SaaS solutions with a focus on data analytics.

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Skills

Core Skills

JavaSpring FrameworkElasticsearchSpring BootDatabase DesignMicroservices

Other Skills

API DevelopmentAlgorithmsAmazon S3Apache KafkaArduinoBack-End Web DevelopmentC (Programming Language)CommunicationData AnalyticsData IngestionData MigrationData StructuresDeep LearningDeployment AutomationDocker

About

Backend Software Engineer with 2+ years of experience, specializing in Java, Spring Boot, and Microservices. I have built scalable, high-performance backend systems, developed a custom Elasticsearch query engine, and optimized data analytics frameworks to enhance system efficiency. Skilled in Java, Spring Boot, and backend architecture, I have hands-on experience with building scalable microservices, optimizing search performance using ELK Stack, and working with databases like MongoDB, Elasticsearch and MySQL. Additionally, I have expertise in containerization, deployment automation with Docker and Kubernetes, and cloud platforms like AWS and GCP. Passionate about solving complex backend challenges, optimizing system performance, and designing efficient data pipelines. Strong engineering background with a B.E. degree in Computer Science from RV College of Engineering, Bangalore. Let’s connect! Always open to exciting opportunities and collaborations.

Experience

Walmart global tech india

Software Engineer III

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India · Hybrid

Tekion corp

3 roles

Software Engineer

Promoted

Oct 2022 – Apr 2025 · 2 yrs 6 mos

Designed, developed, and optimized a robust software data analytics framework using the Spring Framework in Java, enhancing data processing efficiency and analytical capabilities.
Engineered a high-performance Elasticsearch query engine framework to enable efficient searching, filtering, and sorting, resulting in a 7.5x reduction in code modification efforts.
Extensively worked with MongoDB, MySQL, and the ELK stack (Elasticsearch, Logstash, Kibana) to ensure optimized data storage, accelerated query performance, and seamless integration with analytics workflows.
Developed and deployed six automated data migration pipelines, improving migration efficiency by 5x and reducing operational time by 16 minutes per 4GB of data processed.
Proactively identified and resolved critical production issues and high-priority bugs, leading to a 40% reduction in support team efforts and improved system reliability.
Collaborated with cross-functional teams, including product managers and business analysts, to gather requirements, align technical solutions with business needs, and drive product enhancements.

JavaSpring FrameworkElasticsearchMongoDBMySQLELK Stack+3

Associate Software Engineer

Jul 2021 – Oct 2022 · 1 yr 3 mos

Implemented data ingestion pipelines to integrate transactional data into analytics dashboards using Java, Spring Boot
Designed and implemented a secondary database optimized for high-speed analytical queries, significantly improving search performance and reducing query response times. This enhancement enabled efficient data retrieval for analytics, optimizing system scalability and overall backend performance.
Architected and developed a highly efficient Elasticsearch query framework, enabling optimized searching, filtering, and sorting of large-scale data. This framework significantly enhanced query performance, reduced computational overhead, and improved data retrieval efficiency for analytics and reporting systems.

JavaSpring BootElasticsearchData IngestionDatabase Design

Software Engineer Intern

Jan 2021 – Jul 2021 · 6 mos

Contributed to the design and development of RESTful Backend APIs for a Cloud-based HR Management System using Microservices.
Expertly managed container-based deployments utilizing Docker, streamlining deployment processes using Jenkins pipeline which reduced deployment time by 30%, improving scalability.

MicroservicesRESTful APIsDockerJenkins