LCIT-AIP-W25/StickGen
Feb 2025 – Apr 2025
3 Months active
Languages Used
JavaScriptYAMLPython
Technical Skills
API DevelopmentCORSElasticsearchExpress.jsNode.jsCI/CD
Naruto7335
PROFILE
Naruto7335
Jitender Kaushik developed core data engineering and automation features for the LCIT-AIP-W25/StickGen repository over a three-month period. He established a scalable Express.js API server with CORS and Elasticsearch integration to support news trend analytics, then enhanced reliability by improving error handling and enabling Kibana dashboard access. Jitender automated CI/CD pipelines using Jenkins and Docker Compose, streamlining deployment and testing for both API and Kafka-based data pipeline components. He also introduced comprehensive unit tests in Python to verify Kafka producer functionality. The work demonstrated depth in backend architecture, automation, and observability, laying a robust foundation for future data-driven features.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
1,344
Activity Months3
Your Network
4 peopleSame Organization
@loyalistcollege.com4
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for LCIT-AIP-W25/StickGen: Implemented Data Pipeline CI/CD Automation to stabilize and accelerate data pipeline deployments. Established Jenkins-based testing for producer/consumer components, added Dockerfiles for producer/consumer, and created a Jenkinsfile for end-to-end CI/CD, plus ELK stack integration configurations. Introduced comprehensive unit tests for Kafka producer instantiation and message sending to increase reliability and catch issues early. This work lays the foundation for automated testing and deployment of the data pipeline, reducing manual steps and enabling faster, safer releases.
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for LCIT-AIP-W25/StickGen: Implemented Data Pipeline CI/CD Automation to stabilize and accelerate data pipeline deployments. Established Jenkins-based testing for producer/consumer components, added Dockerfiles for producer/consumer, and created a Jenkinsfile for end-to-end CI/CD, plus ELK stack integration configurations. Introduced comprehensive unit tests for Kafka producer instantiation and message sending to increase reliability and catch issues early. This work lays the foundation for automated testing and deployment of the data pipeline, reducing manual steps and enabling faster, safer releases.
April 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for LCIT-AIP-W25/StickGen highlights two core enhancements that improve reliability and deployment velocity, delivering measurable business value in observability, data visualization, and end-to-end automation. Key outcomes include improved Elasticsearch error handling with richer logs and a new /dashboard route for quick Kibana visualization, plus CI/CD automation via Jenkins in Docker Compose to streamline builds and deployments.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for LCIT-AIP-W25/StickGen highlights two core enhancements that improve reliability and deployment velocity, delivering measurable business value in observability, data visualization, and end-to-end automation. Key outcomes include improved Elasticsearch error handling with richer logs and a new /dashboard route for quick Kibana visualization, plus CI/CD automation via Jenkins in Docker Compose to streamline builds and deployments.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 highlights for LCIT-AIP-W25/StickGen focused on building a solid foundation and enabling data-driven capabilities for future features. No major bug fixes were reported this month; effort centered on initialization and API scaffolding to accelerate delivery.
2 Commits • 2 Features
Feb 1, 2025February 2025 highlights for LCIT-AIP-W25/StickGen focused on building a solid foundation and enabling data-driven capabilities for future features. No major bug fixes were reported this month; effort centered on initialization and API scaffolding to accelerate delivery.
February 2025
Activity
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Quality Metrics
Correctness73.4%
Maintainability73.4%
Architecture70.0%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptPythonYAML
Technical Skills
API DevelopmentBeautifulSoupCI/CDCORSData EngineeringDockerElasticsearchExpress.jsJenkinsKafkaKibanaLogstashMockingMongoDBNode.js
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