Data Engineering

Trust your data and improve your analytics

What We Do

Our Data Engineering team helps clients conceptualize, design, and implement scalable modern data platforms that evolve with their changing data needs. Our engineers use a quality-centered approach to building quality data systems using software engineering principles like clean architecture, DataOps, CI/CD, and test automation.

  • We understand that quality data starts with thoughtful, high-quality data engineering
  • We have experience in the major cloud data technologies
  • We are experts in data strategy, integration, and software engineering
  • We can train your team to skill them up

We partner with clients to ensure we build data products together so that when we’re gone, they can own and maintain them. We understand that you can’t know everything overnight, so we encourage involvement throughout the process. We ground our practice in strong software engineering principles so that other software engineers will be able to enhance, maintain, and support the new modern data system.
 
Our data engineers make sure data scientists have reliable, clean data. As more companies move to the cloud, they realize they need more skills to analyze different types of database technologies and storage technologies. They need to know how to move data and the coding required to move data—all the things a data engineer does. Our data engineers are software engineers for data systems, which helps fill the gaps of typical SQL developers.

  • Enhance the capabilities of your SQL databases and ETL engineers
  • Get your analytical models into production, move beyond just their sequel data
  • We build productionalized data systems that are reliable and maintainable
  • We help data scientists identify the right tools and systems to help produce the right data

We are technologists with many technical engineering skill sets. Our Data Engineering team can help you with many technologies and integrate the tools around them, including:

  • Snowflake
  • Databricks
  • Spark and Hadoop
  • Kafka
  • MongoDB
  • Elastic
  • Cloud Data Platforms (AWS, Azure, GCP)
  • DBT

 

We Elevate Our Clients’ Internal Teams

Our data engineers are software engineers for data systems. We build quality data systems and train internal teams on these new technologies.

 

Unique Approach. Proven Process.

Your OPI team will take a unique approach to solve your specific objective, but will follow a proven process to get **it done.

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SPS Commerce
SPS Commerce
Minneapolis-based SPS Commerce is the world’s leading retail network. The company has recorded 83 consecutive quarters of growth. SPS Commerce uses cloud technology to connect trading partners around the globe to optimize supply chain operations.
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OPI's recommendation provided our business with significant cost savings and flexibility to execute on a longer-term architecture strategy. They took the time to understand our business needs and translated those into viable technical solutions.
Brent Hansen, Senior Director of Innovation, Avantas