phData data engineering
Data Engineering services and expertise to help you author, deploy, monitor, and support data products faster and more reliably.
Specialized architects and engineers. More dependable data products, delivered faster.
Businesses around the world are scrambling to move from legacy data stores and warehouses to modern, cloud-based services — only to wind up with data products that are plagued by errors, expensive to maintain, and too unstable to scale or to run in-production at all.
phData Data Engineering helps you author, deploy, and support your mission-critical data products. Drawing from our experience across hundreds of data engineering and machine learning projects, we build using technology-specific best practices every step of the way — from architecture design to deployment automation to pipeline monitoring — to help ensure your data products are stable, scalable, and cost-effective.
Real experts, real results
The right technologies, the right implementation
Drawing from experience with thousands of big data projects, we help you architect the right solution and implement it according to proven design patterns and platform-specific best practices.
Managed, monitored data pipelines
Poorly constructed pipelines yield late, missing, or incorrect data. We ensure yours are robust and fully monitored, with error handling, alerting, and instrumentation.
Fast, sustainable software development lifecycles
Instilling CI/CD best practices (such as proper source control and build-process automation) makes it faster and cheaper to deliver and maintain code that holds up in production.
phData Data Engineering Services
AWS Data Engineering
Cloudera Data Engineering
Databricks Data Engineering
Snowflake Data Engineering
Why phData for Data Engineering?
Depth of expertise over breadth of manpower
An automated, process-driven approach
Technology and design decisions for long term success
A security-focused mentality, every step of the way
Our emphasis on automation, repeatability, monitoring, and process standardization minimizes human error, and therefore risk. With broad experience delivering data products in industries with strict compliance regulations (e.g., GDPR, CCPA, and HIPAA), we understand the importance of keeping security top-of-mind — from design to deployment to production.