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Rohith Kumar
@goundlarohith
Senior Backend Engineer
India
English, Telugu
About me
Backend Engineer with 4+ years of experience designing and building scalable microservices, distributed data processing systems, and cloud-native applications. Proficient in Java, Spring Boot, SQL, Kafka, Azure Cloud, and PySpark, with hands-on experience developing high-performance backend services and large-scale data platforms processing millions of records daily. Experienced in REST API development, database design, distributed systems, event-driven architectures, and cloud-based data solutions. Strong foundation in System Design (LLD/HLD), Data Structures & Algorithms, Multithreading.
Skills
Rohith Kumar
Offline •
Average response time: 1 hour
See my services
Full Stack Web Applications
I will develop java spring boot rest apis and azure databricks etl pipelines
Work experience
Senior Backend Engineer
Mercedes-Benz India • Full-time
Aug 2023 - Present • 2 yrs 11 mos
Senior Backend Engineer (Battery Data / Powernet Diagnosis System) @ Mercedes-Benz R&D India, Bangalore Aug 2023 – Present • Designed and implemented scalable data ingestion frameworks integrating Xentry diagnostics (XML via ADLS) and vehicle telemetry streams (Kafka/Parquet), processing millions of records daily. • Architected and deployed a Delta Lake-based Medallion Architecture (Bronze → Silver → Gold), leveraging Z-Ordering and Liquid Clustering to optimize query performance and storage efficiency. • Designed and developed scalable, secure REST APIs and microservices using Java, Spring Boot, SQL, OAuth2, and JWT, supporting diagnostic data retrieval, workflow orchestration, analytics, and reporting across enterprise applications. • Developed scalable backend APIs supporting filtering, aggregation, and retrieval of millions of vehicle diagnostic records, reducing manual investigation effort by 60%. • Built event-driven data processing pipelines using Kafka, enabling near real-time ingestion and processing of vehicle telemetry. • Designed relational database schemas, indexing strategies, and optimized complex SQL queries for high-volume diagnostic data workloads, improving API response times and query efficiency. • Collaborated with architects and cross-functional teams to create High-Level Designs (HLD) and Low-Level Designs (LLD) for backend services and data platforms. • Optimized Spark workloads through partitioning, caching, Delta optimization, and query tuning, significantly improving processing efficiency and resource utilization. • Built Vue.js dashboards and engineering analytics portals that reduced investigation turnaround time and improved productivity across multiple teams. • Leveraged AI-powered development tools (ChatGPT, GitHub Copilot,Claude,Devin) to accelerate coding, debugging, documentation, test generation, and code review activities, improving development efficiency.
