Summary
Overview
Work History
Education
Skills
Timeline
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Vikram Singh Rawat

Elastic Developer
Pune

Summary

Experience in data aggregation and search using Elastic Search Experience in setting up Application Metrics dashboards using tools such as elastic - search, Kibana. Experience in architecting, designing, and developing solutions using the ELK (Elasticsearch, Logstash and Kibana) stack. I am proficient in Elastic search, data modelling and querying using log aggregation, data extraction and reporting using Elastic search, Logstash, Kibana tools. Experience in Designing & Data Modelling, Bulk Document Indexing & Search APIs in ElasticSearch. Creating a RESTFUL web service using elastic search services & Creating queries in Elasticsearch. Proficient in Algolia search and analytics platform. Strong experience in using Amplitude for product analytics and user behavior analysis.

Overview

6
6
years of professional experience

Work History

Java Developer

Cognizant
12.2023 - 07.2025
  • ElasticSearch Upgrade: Successfully upgraded the ElasticSearch infrastructure to the latest version, enhancing system performance and preparing it for future scalability. This involved detailed planning, testing, and execution to minimize downtime.
  • API and JDK Upgrades: Led the upgrade of critical API endpoints and the JDK version, improving application performance and ensuring system compatibility. Troubleshot issues during the transition and provided comprehensive support to the team.
  • Functionality Enhancements: Collaborated with cross-functional teams to implement new features and optimize existing functionalities based on business requirements. Enhanced user experience, reliability, and overall system capabilities.
  • Backend Service Development: Designed and developed business logic modules, REST APIs, and microservices using Java (Spring Boot), ensuring scalability and efficiency in backend workflows.
  • Elastic APM Tools: Integrated Elastic APM for application performance monitoring, enabling detailed tracing and proactive issue detection.
  • Watcher: Configured and maintained Watcher for alerting on key metrics and anomalies within the Elastic Stack, ensuring timely operational awareness.
  • Machine Learning (ML) Jobs: Developed and managed ML jobs in Elasticsearch for anomaly detection and trend prediction, improving operational insight and automation.
  • Deployed and managed on-premises Elasticsearch clusters (multi-node setup) ensuring high availability, fault tolerance, and optimized performance.
  • Configured and tuned Elasticsearch indices, shards, and replicas for large-scale data processing and search performance.

Elastic Stack Developer

ASHNIK
08.2023 - 11.2023
  • Installed and maintained a logging cluster using Logstash, Elasticsearch, and Kibana as a centralized solution to parse logs.
  • Provisioned cluster, nodes, indexes, mapping, sharding, replication, and performed other administrative tasks within the first 20+ days.
  • Managed Elasticsearch infrastructure for tech companies.

Developer

HUNGAMA DIGITAL
05.2022 - 07.2023
  • Website, resulting in a 25% increase in search efficiency and a 30% reduction in search time.
  • Developed customized search solutions using Algolia for various product categories, resulting in a 20% increase in product discovery.
  • Utilized Amplitude to track user behavior and optimize user experience, resulting in a 15% increase in user engagement.
  • Collaborated with cross-functional teams to implement new features and resolve technical problems.
  • Developed and maintained backend services using PHP and Python.
  • Conducted code reviews and provided technical guidance to junior developers.
  • Analyze and interpret large datasets using Kibana, Elasticsearch, and other data visualization tools to identify trends, patterns, and insights.
  • Develop and maintain Kibana dashboards and visualizations for various business stakeholders, providing them with real-time data and actionable insights.
  • Monitor and troubleshoot issues with Kibana dashboards, ensuring their availability and optimal performance.
  • Train and educate team members on using Kibana effectively for data analysis and reporting.

Elastic Search Engineer

TCS
01.2020 - 04.2022
  • Experienced with setup, configuration and maintain ELK stack (Elasticsearch, Logstash and Kibana)
  • Responsible for designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats etc.)
  • Design, build and manage the ELK (Elasticsearch, Logstash, and Kibana) cluster for centralized logging and search functionalities for the App.
  • Working with development and QA teams to design Ingestion Pipelines, Integration APIs, and provide Elasticsearch tuning based on our application needs.
  • Experience in Administration/Maintenance of Source Control Management Systems such as Git, Sub Version (SVN). Created tags and branches, fixed merge issues and administered software repositories.
  • Skilled in monitoring servers. Cloud watch and using ELK Stack Elasticsearch Kibana.
  • Experience in making search queries.

Education

Bachelor's Degree - Computer Science

SAVITRIBAI PHULE PUNE UNIVERSITY
Pune
01.2019

Skills

Programming Languages: Java, Python, PHP

Frameworks & Services: Spring Boot, Microservices, REST/JSON, XML

Databases: MySQL, Strong SQL (query building, schema design, ETL, analytics), Hadoop, AWS

Version Control: Git, Bitbucket

Reporting & Search Tools: Elasticsearch, Logstash, Kibana, Solr, Amplitude, Algolia

Other Tools: Eclipse, Maven, JIRA

Operating Systems: Windows, CentOS

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Timeline

Java Developer

Cognizant
12.2023 - 07.2025

Elastic Stack Developer

ASHNIK
08.2023 - 11.2023

Developer

HUNGAMA DIGITAL
05.2022 - 07.2023

Elastic Search Engineer

TCS
01.2020 - 04.2022

Bachelor's Degree - Computer Science

SAVITRIBAI PHULE PUNE UNIVERSITY

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Vikram Singh RawatElastic Developer