About
We developed a Data Processing Pipeline to automate lab data analysis and reporting. The system processes .txt lab files in AWS S3, triggers Lambda for automation, and runs Python scripts on EC2 to generate JSON, CSV, and PDF reports. CloudWatch monitors performance, while notifications alert stakeholders of success or errors. This streamlined research workflows, ensuring accuracy, efficiency, and real-time insights.
Challenge, approach, and impact
Handling Large Data Volumes
Processing high-frequency lab-generated data efficiently without performance bottlenecks.
Real-Time Processing & Automation
Ensuring seamless trigger-based execution for immediate data transformation and report generation.
System Reliability & Error Handling
Implementing robust mechanisms to detect, log, and notify stakeholders of processing errors.
Scalability & Performance Optimization
Designing an AWS-based architecture capable of handling increasing data loads while maintaining speed.
Data Integrity & Security
Ensuring accurate data processing and secure storage of sensitive research data in compliance with best practices.
How we built
Testimonials
Anonymous
Diligent Solutions DOO
“Working on this project was a great experience. We built a scalable, automated pipeline that cut processing time by 70% and ensured real-time, accurate reporting. Seeing researchers gain faster insights was incredibly rewarding.“
Team structure
Client team
D S
Product Owner
Daily point of contact
The client stakeholders at Orbital Therapeutics were working closely with the team at Diligent Solutions
Agency team
2 x Data Engineer
Production
1 x Tech Lead
Governance
