Sushmith Kumar Email & Phone Number

Nashville Metropolitan Area

• Developed a comprehensive migration plan, ensuring a smooth transition from Splunk to the ELK stack while preserving data integrity and functionality.
• Engineered efficient Logstash configurations to ingest and transform data from diverse sources, ensuring seamless integration into Elasticsearch.
• Successfully migrated Splunk dashboards and alerts to Kibana, optimizing visualization and alerting capabilities to match and enhance the previous monitoring system.
• Translated existing Splunk queries to Elasticsearch DSL, optimizing queries for efficient and accurate data retrieval from Elasticsearch indices.
• Utilized Kibana to design and develop custom dashboards and visualizations, tailored to specific monitoring needs and user requirements.
• Implemented performance monitoring solutions within ELK to identify bottlenecks and optimize Elasticsearch clusters for improved query response times.

• Implemented Logstash pipelines for efficient ingestion, parsing, and enrichment of diverse data sources, ensuring seamless integration with Elasticsearch.
• Developed tailored Logstash filters to preprocess and transform raw data into structured formats, enabling easier querying and analysis in Elasticsearch.
• Configured Kibana alerts to notify the operations team in real-time of critical events, enhancing proactive issue resolution and minimizing system downtimes.
• Successfully centralized logs from various applications and systems into Elasticsearch, simplifying log management and accelerating troubleshooting processes.
• Designed intuitive Kibana visualizations to track key performance metrics, enabling quick identification of performance bottlenecks and trends.
• Optimized Elasticsearch cluster configurations and indices to handle increased data volume while maintaining optimal performance.

• Lead the optimization of a large-scale Elasticsearch cluster to improve search performance and efficiency.
• Configured and managed a multi-node Elasticsearch cluster, including index settings, shard allocation, and node monitoring.
• Designed and implemented efficient data models for storing and querying large volumes of structured and unstructured data in Elasticsearch.
• Developed custom Java applications to integrate with Elasticsearch for data indexing, search functionality, and real-time data processing.
• Optimized Elasticsearch cluster performance by fine-tuning JVM settings, shard allocation strategies, and query optimizations.
• Utilized Elasticsearch REST APIs for performing CRUD operations, executing complex search queries, and managing cluster settings.

• Developed code for user interface by utilizing OOPS concepts like multithreading, inheritance, polymorphism, and collection API.
• Worked with Microservice architecture using Spring Boot to modularize code and implemented Rest API’s using Spring Rest and integrated Swagger API for documentation.
• Worked on implementation of Spring Security with JWT Token which is used across the web application for the authentication and authorization of the users.
• Implemented all the functionality using Spring IO / Spring Boot, Microservices and Hibernate ORM.
• Written PL/SQL code for Analysis, Design, and Implementation of Business Applications using the Oracle Relational Database Management System (RDBMS).
• Created DB Links to interact with other Oracle databases on the distributed database system.