Real-time Data Pipeline & Analytics Platform for Medical Device Monitoring

Medium Priority
Data Engineering
Medical Devices
👁️21034 views
💬1227 quotes
$25k - $75k
Timeline: 12-16 weeks

Our SME in the medical devices industry is seeking an expert data engineer to develop a real-time data pipeline and analytics platform. This platform will enhance our ability to monitor device performance and patient outcomes, supporting better decision-making and compliance with regulatory standards.

📋Project Details

As a growing SME in the medical devices sector, we face challenges in efficiently aggregating and analyzing data from our devices in real time. We aim to deploy a robust data engineering solution that enables real-time data streaming, processing, and analytics. This project involves designing and implementing a data pipeline that leverages Apache Kafka for event streaming and Spark for real-time processing. The integration of Airflow for workflow management and dbt for data transformation will ensure seamless data operations. We intend to deploy this architecture on Snowflake or BigQuery to facilitate scalable and efficient data storage and querying. The solution should also include elements of data observability to monitor the pipeline's performance and health. The ultimate goal is to provide actionable insights that improve our product offerings and maintain regulatory compliance.

Requirements

  • Expertise in real-time event streaming
  • Experience with data transformation and ETL processes
  • Proficiency in cloud data warehousing solutions
  • Knowledge of data observability practices
  • Familiarity with MLOps for enhancing data-driven decisions

🛠️Skills Required

Apache Kafka
Spark
Airflow
dbt
Snowflake/BigQuery

📊Business Analysis

🎯Target Audience

Healthcare providers and clinical researchers who rely on real-time data from medical devices to make timely and informed decisions for patient care.

⚠️Problem Statement

Current data aggregation methods are slow and inefficient, leading to delays in processing device performance metrics and patient data. This hampers timely decision-making and compliance with health regulations.

💰Payment Readiness

The industry is under pressure to adhere to stringent regulatory standards and enhance patient care through timely data insights, creating a high willingness to invest in advanced data solutions.

🚨Consequences

If unresolved, the inefficiencies could lead to non-compliance with health regulations, reduced customer satisfaction, and potential loss of market share.

🔍Market Alternatives

Current solutions involve manual data entry and periodic batch processing, which are labor-intensive and not suitable for real-time insights or scaling with data volume increases.

Unique Selling Proposition

This project leverages cutting-edge data engineering technologies to offer a seamless, scalable, and real-time analytics platform specifically tailored to the medical devices sector.

📈Customer Acquisition Strategy

Our strategy involves direct engagement with healthcare providers and leveraging partnerships with clinical research entities to demonstrate the impact of our solution on operational efficiency and regulatory compliance.

Project Stats

Posted:July 21, 2025
Budget:$25,000 - $75,000
Timeline:12-16 weeks
Priority:Medium Priority
👁️Views:21034
💬Quotes:1227

Interested in this project?