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Real-Time Data Gathering Platform

Full-stack Web Developer - Private. Developed a full-stack platform to gather real-time data from sensors for various industries. Utilized ReactJS and NodeJS to create multiple controllers based on the GraphQL API, incorporating queries, mutations, and data streaming. Designed and implemented the architecture to connect IoT sensors to the web app. Implemented MQTT for real-time data reception from sensors, storing it in InfluxDB using GraphQL streaming. Employed MongoDB to store information about users, brokers, and sensors. Worked with big data, architecting data pipelines using Kafka, Spark, and other tools. Operated in an Agile environment, collaborating with a scrum master. Generated well-documented code with clear instructions and JSDoc for reporting.

Project Details

Detailed information about the project.

Project Goals
To develop a robust platform that gathers and processes real-time data from IoT sensors for various industrial applications, ensuring efficient data storage and retrieval.
Challenges Faced
Faced challenges in handling real-time data streaming, integrating multiple IoT sensors, and managing large-scale data pipelines.
Solutions Implemented
Successfully implemented MQTT for real-time data streaming and used GraphQL for efficient data queries and mutations. Designed an effective architecture to connect IoT sensors and utilized InfluxDB for time-series data storage. Managed big data pipelines using Kafka and Spark, ensuring reliable data processing. Overcame integration and data management challenges through thorough planning, testing, and optimization. Generated comprehensive documentation using JSDoc for clear code instructions and reporting.
Technologies Used
ReactJS, NodeJS, GraphQL, MQTT, InfluxDB, MongoDB, Kafka, Spark, JSDoc
Start Date
12/1/2023
End Date
1/31/2024

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