Real-Time IoT Data Integration and Analytics Platform for Precision Agriculture

As a rapidly growing company in Agricultural Technology, we aim to revolutionize precision agriculture by providing farmers with real-time insights from their IoT devices. To achieve this, we are developing a data integration and analytics platform capable of handling high-velocity data streams from various agricultural sensors. The solution should efficiently integrate data using Apache Kafka as the backbone for event streaming, process this data with Spark, and store it in a scalable, cloud-based data warehouse like Snowflake or BigQuery. Additionally, workflows will be managed using Apache Airflow and data transformations conducted through dbt, ensuring our analytics are actionable and accurate. The project necessitates expertise in real-time data processing, event-driven architectures, and cloud data warehousing. The chosen freelancer will work closely with our internal team to design and implement a system capable of providing actionable insights to farmers, facilitating data-driven decision-making in crop management and yield optimization. The solution will also include data observability features to ensure data quality and readiness for downstream machine learning applications.