Data Engineering
Expert support for your modern data platform, from architecture to applications.
Talk to our expertsData Engineering Services
Patterson Consutling data engineering teams help you build out data pipelines and generative AI capabilities. We specializing in constructing modern data stacks that for data collection, transformation, and publication.
Our data engineering team operates on all 3 major clouds:
- MS Azure
- AWS
- GCP
The data engineering tools we focus on:
- SQL Server / RDBMS
- PowerBI / analytics
- Snowflake
- Airflow / DBT / orchestration
- Cube / semantic layer
We do data integration work for platforms such as:
- Workday
- Salesforce
- Oracle NetSuite
- Guidewire
In industries such as Insurance, we help companies with data integration between their policy system and their finance systems as well. Technologies include:
- Pega
- Sapiens
- SAP
Platform Architecture
Great data platforms help forward looking companies grow their business faster than their competitors, and our architecture review offering is key to helping build great data platforms. .
Data Modeling and Transformation
Building efficient data pipelines and analytical data products is key to a data platform that your company trusts. Patterson Consulting delivers data modeling and data pipelines that produce correct data under the time theshold the line of business requires.
Data Migrations
Many companies live in a world where their systems span multiple clouds. Patterson Consulting helps companies migrate platforms and data pipelines between clouds as the situation requires.
Our Methodology for Data Engineering
Our team has extensive experience in delivering data engineering applications across all 3 phases.
Data Collection
Data collection and data integration across multiple data sources is a key step in feeding any data platform. Our data integration processes help companies bring in data correctly and timely in a way that meets line of business SLAs.
Data Transformation
Building complex multi-stage data pipelines and orchestrating them correctly can be a trick. Patterson Consulting helps companies build, deploy, and orchestrate key data pipelines that their line of business can trust to deliver data products consistently and reliably.
Data Analysis and Integration
The ultimate user of the data platform is the line of business, and they have to have the data they need when they need it and where they need it. At Patterson Consulting we analyze the business to best understand what is needed so we can deliver data product results in a way that matter to the line of business.
What is Data Engineering?
Whitepaper: What is Data Engineering?
Download our whitepaper on how data engineers support the needs of data scientists, analysts, and other key stakeholders within an organization. Learn how data engineering provide the crucial data infrastructure for data-driven insights and strategic decisions.
How Does Data Engineering Impact My Organization?
Data engineering is the discipline focused on designing, constructing, and maintaining the systems that manage the reliable and efficient processing of large volumes of data. This encompasses tasks such as collecting, storing, transforming, and organizing data to make it accessible and usable for analysis, reporting, and decision-making.
DownloadOur Process
We advocate for implementing software engineering principles in data engineering and data science to instill confidence and foster trust in the results.
Agile Methodology
The Patterson Consulting team has the ability to use classic project management methods or adapt to what the customer needs and how they want to work.
Quality People
Many companies will bring in "lots of bodies", but at Patterson Consulting we focus on bringing industry veterans to the table to work on your problems.
Efficient Execution
The Patterson Consulting team focuses on getting in and doing what is required as efficiently as possible. We live in a world where the entire industry can change in a quarter, so our philospohy is to focus on executing quickly.
Who in your organization needs data engineering?
We commonly work with the following groups inside companies.
Business Teams
Business teams that need to build a consistent data model for other teams in the organization.
Product Owners
Product owners who need to embed analytics or support traditional analytic applications.
Data Scientists
Data Scientists require data models consistent with the view other teams take on the same raw data.
The Value of Data Engineering
Data engineering teams facilitate data-driven decision-making and empower businesses with machine learning and AI capabilities. Specializing in constructing modern data stacks that utilize a unified data platform for data collection, transformation, and publication, they enable you to unlock the full revenue-generating potential of data transformations.
Why Use Our Data Engineering Team?
In today's business landscape, accessible, usable, and actionable data is essential for professionals at every level. By dismantling data silos and ensuring seamless access, we empower all team members to make informed decisions and foster innovation.
Patterson Consulting stands ready to be your trusted partner in crafting your data engineering solution. Whether it's facilitating data-driven decision-making with a unified enterprise source of truth, empowering business users to create dependable AI/ML applications, accelerating data projects through automation, or ensuring robust security practices and governance standards, we have the expertise to deliver.
Common Questions About our Engagement Process
Here are some of the commons questions asked.
Our latest blog resources
Articles on data engineering and generative AI from the Patterson Consulting team
Data Modeling Healthcare Data with DBT
In this post we’ll build our first DBT pipeline to summarize patient history data for downstream data engineers.
Read
Loading the Credit Card Transaction Data Into Snowflake
In this blog post series we will demonstrate how to build a credit card fraud detection system on realistic data.
Read
Let's talk about your data engineering project.
Patterson Consutling data engineering teams help you build out data pipelines and generative AI capabilities. We specializing in constructing modern data stacks that for data collection, transformation, and publication.
Talk to our experts