Building a Real-Time Data Pipeline for Genomic Analysis

As a biotechnology startup at the forefront of genomic research, we are currently facing challenges in processing and analyzing vast amounts of genomic data efficiently. To address this, we are looking to develop a sophisticated real-time data pipeline that can handle high-velocity data streams and provide immediate insights. The project will involve designing and implementing a scalable architecture using Apache Kafka for event streaming and Apache Spark for real-time analytics. We expect the integration of Airflow for orchestrating data workflows, along with dbt for managing data transformations in Snowflake or BigQuery environments. Additionally, implementing data observability practices will be crucial to monitor data quality and pipeline performance. The successful execution of this project will significantly enhance our ability to conduct timely and accurate genomic analysis, leading to faster scientific discoveries.