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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
Our specialized architects and data engineers help you get the right infrastructure and software delivery processes in place to deliver streaming, batch, and interactive data products in weeks, not years.
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
We help break down data silos and combine different classes of analytics for more comprehensive insights and better decision making.
Cloudera Data Engineering
Leading provider of data engineering services for streaming, batch, and interactive data products with Cloudera, we ensure the success of even the most complex data deployments.
Databricks Data Engineering
Our hands-on Spark and Scala experts define scalable transformation jobs and monitor execution, with governance, security, and data protection baked-in.
Snowflake Data Engineering
Our best-in-class data engineering teams implement cloud-native data pipelines, delivering secure, scalable data products in weeks, not months.
Why phData for Data Engineering?
Depth of expertise over breadth of manpower
Many businesses contract big teams of inexperienced, generalist devs who often train themselves on core ecosystem technologies on the fly. But not phData. We bring in a small team of highly specialized solutions architects and data engineers who know how to get the job done right the first time — with hands-on experience implementing technologies like Databricks, Snowflake, Scala, and Spark at-scale. This “go-deep” approach beats “going wide” in every single dimension, including cost.
An automated, process-driven approach
Managed, monitored pipelines minimize issues with late, missing, or incorrect data. Data quality automation provides proactive alerts for scenarios likely to cause issues. We help you ensure your build-and-deploy process is designed with long-term reliability and CI/CD best practices (e.g., automation, source control, versioning).
Technology and design decisions for long term success
Our experienced solutions architects work closely with you to understand the business goals of your project, and then to help you navigate the countless new cloud and data engineering technologies on the market. We compare and contrast the various design options based on your user needs, product requirements, and system constraints to help you make technology-selection and architecture decisions that set you up 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.