Real-Time Data Pipeline for Optimizing Electronics Manufacturing Processes

As a growing startup in the electronics manufacturing industry, we face significant challenges in optimizing our production processes due to the lack of real-time data insights. The absence of a centralized, accessible data platform means that critical decisions are often delayed, impacting our production efficiency and product quality. We are looking to build an end-to-end real-time data pipeline that integrates data from various sources on the production floor. This project involves setting up real-time event streaming using Apache Kafka, data processing with Spark, and orchestration with Airflow. The processed data will be stored in a scalable platform like Snowflake or BigQuery, with transformations managed through dbt. Additionally, we plan to implement data observability solutions to monitor and ensure data quality and system reliability. The successful execution of this project will empower our team with actionable insights to swiftly address production anomalies, optimize resource utilization, and improve overall product quality, ultimately enhancing our competitive edge in the market.