Modernize Data Platform in HealthTech
Built a scalable, compliant cloud data platform for a digital health market leader.
Overview
aidhere is a market leader in digital health applications for the holistic treatment of diseases. To enable practical, data-driven health scenarios that integrate into patients' daily routines, DataMax constructed a highly adaptable data platform that scales dynamically, spans multiple compute locations, and guarantees reliability — all while maintaining compliance with German regulatory requirements for healthcare apps.
Challenge
aidhere wanted to harness data and advanced analytics to deliver seamless digital health experiences. This required navigating multiple challenges simultaneously: managing diverse data sources, securing sensitive health data under German healthcare regulations, handling various data types, and balancing performance with cost efficiency.
Approach
We built a cloud infrastructure specifically tailored for running Airflow ETL pipelines in the healthcare context, with automated deployment, separate dev/prod environments, and integrated monitoring and alerting.
Solution
We implemented a scalable, reproducible cloud infrastructure on Open Telecom Cloud (OTC) using Kubernetes and Terraform for automated, cost-effective provisioning. Apache Airflow was deployed for data ingestion and pipeline orchestration, with integrated monitoring and alerting to notify the team when data is ready. We built robust processes for fetching and enriching data from multiple external sources, migrated existing code to Airflow, and added Metabase for analytics visibility. dbt and dlt were used for data transformation and loading.
Results
"DataMax's approach to building highly automated and cost-effective solutions allowed us to efficiently optimize our operations. The team at DataMax is very flexible and competent in navigating various technology challenges, which greatly contributed to the success of the project. I would confidently recommend DataMax to any organisation in need of reliable support for their data infrastructure needs."
Dr. Tobias Lorenz — Co-Founder & CTO, aidhereReady to accelerate your AI journey?
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