Development of a Real-Time Data Pipeline for Genomic Sequencing Analysis

As a growing biotechnology firm specializing in genetic sequencing, we require the establishment of a robust real-time data pipeline to handle large volumes of genomic data efficiently. This project aims to develop and deploy an integrated data solution that leverages leading-edge technologies like Apache Kafka, Spark, and Airflow. The selected freelancer will design a system capable of ingesting, processing, and analyzing data from multiple sources in real-time, facilitating faster and more accurate genomic insights. The solution should also incorporate data observability principles to ensure data quality and reliability. Moreover, utilizing dbt and Snowflake for data transformation and warehousing, the pipeline will provide our research team with actionable insights, enhancing our capacity for innovation and competitive positioning in the market. The expected outcome is a scalable, maintainable, and efficient pipeline that meets our data needs and supports future growth.