Data Lake on AWS with Databricks – Pharma and Life Sciences

The Data Lake on AWS with Databricks – Pharmaceutical solution helps Life Sciences and pharmaceutical organisations unify fragmented R&D, clinical, pharmacovigilance (PV), manufacturing (GMP), QC, and supply‑chain data into a single, governed platform for analytics and reporting. Built on AWS-native services such as Amazon S3, AWS Glue, AWS Lambda, AWS Step Functions, AWS Lake Formation, and Amazon Athena, it delivers a production‑ready foundation with structured data zones, automated ingestion, and unified governance. By integrating Databricks, the solution enables collaborative analytics and advanced data science while ensuring compliance with GxP, 21 CFR Part 11, Annex 11, GDPR, and HIPAA where applicable. It supports trusted, audit‑ready analytics across regulated systems including LIMS, ELN, CTMS/EDC, eTMF, QMS, MES, ERP, and PV case management platforms, helping teams accelerate insight generation, improve product quality, and optimise operations. Delivered by Version 1, this implementation aligns with the AWS Well‑Architected Framework and includes hardened security controls such as IAM least privilege, AWS KMS encryption, and Lake Formation access policies. The result is a secure, scalable, and compliant enterprise data lake that empowers Life Sciences organisations to modernise their data infrastructure, enhance decision‑making, and achieve faster, more reliable outcomes across the product lifecycle.