Real-Time Data Infrastructure Setup for Environmental Testing Analytics

As a startup in the Laboratory & Testing industry, we provide critical environmental testing services. However, our current data processing systems are outdated and incapable of handling the increasing volume and velocity of data generated from our testing equipment. To maintain our competitive edge and meet the growing demand for rapid insights, we need to overhaul our data infrastructure. This project involves designing and implementing a data pipeline that ingests data in real-time from various laboratory instruments, processes it using Spark, and stores it in a scalable warehouse like Snowflake. Apache Kafka will serve as the backbone for event streaming, ensuring seamless data flow. We aim to integrate Airflow for orchestrating complex data workflows and dbt for transformation and modeling. The goal is to achieve real-time data observability and analytics, providing our clients with instant access to test results and insights, ultimately enhancing our service delivery and customer satisfaction.