Uppili R

Junior Developer with 1.3 years of experience in ELK Stack log analytics and full-stack web development. Proficient in the end-to-end log onboarding lifecycle — from log format analysis and parser development to index template creation, deployment via Apache Guacamole (PAM), and Daily ingestion monitoring in OpenSearch. Hands-on experience with Vector v0.43.0 pipelines and Logstash Dead Letter Queue (DLQ) resolution.

Contributed to a CRM web application using React.js, TypeScript, and Node.js, delivering UI modules and RESTful APIs. Actively seeking opportunities to grow across log analytics and application development domains.

Junior Developer – ELK Stack & Web Application at Secure IT Technologies (2025-03 – 2026-06)

Duration: 1.3 years

• Analyzed incoming log sources to classify and document log formats (Syslog, JSON, and custom formats) as the entry point for every new log onboarding engagement.
• Prepared detailed field mapping sheets for each log source, defining field names, data types, and transformation rules to guide parser development and index template design.
• Developed log parsers using Logstash pipeline configurations (Grok, Dissect patterns) and Vector v0.43.0 transforms, converting raw unstructured logs into normalized, structured events.
• Created Elasticsearch/OpenSearch index templates with precise field mappings and index settings; uploaded and applied templates via OpenSearch Dev Tools console.
• Deployed parsers and pipeline configurations to production environments using Apache Guacamole (PAM), following standard deployment procedures.
• Monitored daily log ingestion in OpenSearch Discover, verifying field-level parsing accuracy, detecting broken or missing logs, and escalating issues for resolution.
• Performed daily index health monitoring across all active OpenSearch indices, rotating this process systematically to confirm logs arrived and were parsed correctly.
• Identified, diagnosed, and resolved Dead Letter Queue (DLQ) errors in Logstash, addressing root causes including mapping conflicts, malformed events, and pipeline misconfigurations.
• Contributed to the development of an OpenSearch-backed CRM (Customer Relationship Management) application as part of a cross-functional development team.
• Built responsive UI screens using React.js and TypeScript — including customer forms, sentinel forms, and audit log views — ensuring consistent UX across all modules.
• Developed and integrated RESTful API routes using Node.js, implementing GET, POST, PUT, and DELETE endpoints to support full CRUD operations for CRM entities.
• Implemented client-side routing in React.js to wire each UI screen to its corresponding API endpoints, enabling seamless data flow between frontend and backend.
• Collaborated in requirement discussions and code reviews, ensuring UI components and APIs met functional and quality standards before release.

Big Data Intern at Digipak Technology Solutions (2024-04 – 2024-05)

• Gained hands-on experience with Apache Hadoop ecosystem (HDFS, MapReduce) and Apache Hive for large-scale data storage and querying.
• Assisted in data ingestion workflows and batch processing tasks using Apache tools and frameworks.
• Developed understanding of distributed computing principles and real-time data pipeline concepts.

Bachelor of Engineering in Electronics and Communication Engineering (ECE) – PERI Institute of Technology, Chennai (2020 – 2024)