Navneet Nayan

Software Engineer

Muzaffarpur, Bihar, India3 yrs 9 mos experience

Key Highlights

Over 3 years of experience in software engineering.
Expert in building resilient microservices and data pipelines.
Achieved efficiency gains of up to 50% in workflows.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in scalable data-intensive applications.

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Skills

Core Skills

Apache SparkMicroservicesSystem Scalability

Other Skills

API modernizationAmazon DynamodbAmazon RedshiftAmazon Web Services (AWS)Apache AirflowApache KafkaApache Spark StreamingC++Claims ProcessingComputer LiteracyCustomer Data IntegrationData EngineeringData ScienceData isolationDatabase Development

About

Accomplished Software Development Engineer with over 3 years of experience architecting and delivering large-scale, data-intensive applications. Skilled in Python, Java, SQL, Apache Spark, Kafka, and Spring Boot, with a strong focus on building resilient microservices and real-time data pipelines. Proven ability to enhance system scalability, reduce processing latency, and automate complex workflows—resulting in efficiency gains of up to 50%. Highly collaborative, detail-oriented, and passionate about solving complex engineering challenges. Thrives in agile teams and fast-paced product environments.

Experience

3 yrs 9 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 7 mos

Current Experience

Uber ext

Software Engineer

Nov 2024 – Present · 1 yr 7 mos · Hyderabad, Telangana, India

Optimized backend services utilizing Pyspark and Uber's internal tools to manage over 1 million real-time events daily.
Enhanced data processing efficiency and ensured accurate equity tracking for B2B clients.
Segregated Event Streams into tenant-specific streams, improving data isolation and scalability for client data.

PysparkReal-time data processingData isolationScalabilityApache SparkMicroservices

Optum

Software Engineer

May 2022 – Jul 2024 · 2 yrs 2 mos · Hyderabad, Telangana, India

Spearheaded API modernization initiatives to enhance system scalability and reduce latency.
Designed a fraud detection flagging system, improving operational integrity across internal teams.
Refactored a monolithic claims platform into a microservices architecture, boosting maintainability and deployment speed.
Developed an internal auditing application that streamlined workflows and improved operational efficiency.

API modernizationFraud detectionMicroservices architectureInternal auditing applicationMicroservicesSystem scalability