Top 10 Danish Pharma Company — Low-Latency Data Pipeline

Streaming & real-time ETL · Jul 2021 – Jul 2022

The Challenge

The company needed a low-latency data pipeline — streaming and real-time ETL — to deliver near-instant visibility into manufacturing and research data.

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 optimisation
  • Predictive maintenance scheduling

Architecture Deep-Dive

Streaming Ingestion

Kinesis Data Streams ingests millions of sensor readings per minute with automatic scaling and multi-AZ fault tolerance.

Real-Time Processing

Lambda and Kinesis Analytics transform, validate, and flag anomalies in-stream — before data even lands in the lake.

Storage & Analytics

Firehose delivers to a multi-tiered S3 data lake. Athena handles ad-hoc queries; Redshift powers structured reporting and ML feature stores.

Research Data Platform

  • Clinical-trial integration across global sites
  • Genomic data processing with high-performance compute
  • Drug-discovery analytics powered by ML models
  • Automated regulatory submissions for FDA and EMA

Results

  • 99.99 % data capture rate from manufacturing sensors
  • 15 % less downtime through predictive maintenance
  • 30 % faster regulatory report generation
  • Real-time dashboards for immediate decision-making

Tech Stack

Streaming

  • Kinesis Data Streams
  • Lambda
  • DynamoDB
  • Python

Storage & Analytics

  • PostgreSQL
  • S3
  • Glue ETL
  • Athena

Compliance & Security

Comprehensive governance meeting FDA 21 CFR Part 11, EU GMP, and GDPR — with end-to-end encryption, automated audit trails, RBAC, and full data lineage.