DataFoundry
Build data pipelines in minutes, not months.
DataFoundry is a no-code ETL and pipeline orchestration platform built for data-heavy enterprises in life sciences, healthcare, and financial services. It replaces weeks of infrastructure work with a visual pipeline builder, automatic scheduling, and built-in data quality monitoring, all deployed on the client's own AWS account.
The Problem We Solved
Enterprise data teams in regulated industries such as life sciences, healthcare and financial services were losing months to pipeline infrastructure. Engineers with deep domain knowledge were spending 70% of their time writing Terraform, configuring Airflow DAGs, and debugging failed syncs instead of building the models that actually moved the business. The result: $10B+ in regulatory penalties annually from faulty, scattered data in legacy systems that no single tool could connect.
What We Built
We built DataFoundry as a self-hosted SaaS that sits inside the client's own AWS VPC, so data never leaves their infrastructure. The centrepiece is a drag-and-drop pipeline canvas powered by Apache Airflow under the hood, where engineers connect 50+ pre-built source connectors (Snowflake, S3, Salesforce, SAP, and more) without writing a line of infrastructure code. dbt transformations run inline, a built-in data quality layer flags anomalies before they reach downstream consumers, and GitHub Actions handles CI/CD for pipeline version control. Deployment is a single Terraform apply.
What We Achieved
70% reduction in average pipeline setup time, from 3 weeks to 4 days
50+ pre-built data connectors covering cloud warehouses, CRMs, ERPs, and APIs
99.95% pipeline uptime with automated alerting and self-healing retries
Full audit trail satisfying FDA 21 CFR Part 11 and SOC 2 Type II requirements
Adopted by 4 enterprise clients in life sciences and financial services within 6 months
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