Real-time Data Pipeline Optimization for Enhanced Consumer Insights

As a rapidly growing consumer electronics company, gaining timely insights from customer data is paramount. We are looking to develop a comprehensive real-time data pipeline that will provide enhanced visibility into consumer behavior and product performance. The project involves optimizing existing Apache Kafka and Spark pipelines and integrating advanced data observability tools. The successful implementation will enable our marketing, product, and sales teams to make data-driven decisions faster and with greater accuracy. The integration with Snowflake or BigQuery will ensure a scalable and efficient data warehousing solution, while dbt and Airflow will facilitate automated, reliable data transformations and workflows. This solution will address current bottlenecks in data processing and improve overall data quality and latency.