Top 10 Danish Pharmaceutical Company Real-Time Data Platform
Manufacturing & research data pipelines (2021–2022)
Project Overview
Built comprehensive real-time data pipelines for a top 10 Danish pharmaceutical company's manufacturing and research operations, enabling real-time monitoring of production processes and accelerating pharmaceutical research through advanced analytics and machine learning capabilities.
Manufacturing Intelligence
Real-Time Monitoring
- Production line sensor data
- Quality control metrics
- Equipment performance
- Environmental conditions
Predictive Analytics
- Equipment failure prediction
- Quality anomaly detection
- Production optimization
- Maintenance scheduling
Technical Architecture
Streaming Data Ingestion
Implemented Amazon Kinesis Data Streams to handle millions of sensor readings per minute from manufacturing equipment, with automatic scaling and fault tolerance.
Real-Time Processing
Built serverless processing pipeline using AWS Lambda and Kinesis Analytics for real-time data transformation, quality checks, and anomaly detection.
Data Storage & Analytics
Designed multi-tiered storage strategy using Kinesis Firehose for S3 data lake, with Athena for ad-hoc analytics and Redshift for structured reporting.
Research Data Platform
- Clinical trial data integration from multiple global sites
- Genomic data processing using high-performance computing
- Drug discovery analytics with machine learning models
- Regulatory reporting automation for FDA and EMA submissions
Key Technologies
Streaming & Processing
- Amazon Kinesis Data Streams
- Amazon Kinesis Firehose
- AWS Lambda
- Amazon Kinesis Analytics
Storage & Analytics
- Amazon S3 data lake
- Amazon Redshift
- Amazon Athena
- AWS Glue for ETL
Outcomes & Impact
- 99.99% data capture rate from manufacturing sensors
- 15% reduction in production downtime through predictive maintenance
- 30% faster regulatory report generation
- Real-time dashboards enabling immediate decision-making
Compliance & Security
Implemented comprehensive data governance framework meeting FDA 21 CFR Part 11, EU GMP, and GDPR requirements for pharmaceutical data handling.
- End-to-end data encryption
- Audit trail automation
- Role-based access controls
- Data lineage tracking