Data Engineering

Data Engineering

Home » Services » Software & Data Engineering » Data » Data Engineering
Developer working on API

Optimize and Monetize Data with Expert Data Engineering Solutions

GAP’s Data Engineering service is backed by data scientists and engineering teams who are experts in the technology, software, FinTech and HealthTech industries, among others. You'll get engineering experts who will guide you every step of the way, helping you transform and unlock the full potential of your data in cloud data warehouses like Snowflake, Amazon Redshift, Google BigQuery and the variety of options from Azure. GAP’s data engineering teams build and accelerate deployment with ETL accelerators and use Infrastructure-as-Code (IaC) to quickly and efficiently deploy your platform in a matter of minutes.

But that's not all. GAP’s knowledgeable data engineer consulting experts are on hand to ensure a smooth implementation and rapid ROI. With support in putting your infrastructure in place backed by a team of experts in data layering —you can achieve your data monetization goals quickly and efficiently

  • Build a solid, tailored infrastructure
  • Collect reliable data using the layered effect
  • Monetize your data and accelerate time to value
Developer working on API

What is Data Engineering?

Data engineering is the process of designing and building systems that collect, store and process data for use in analytics and decision-making. It is the backbone of any data-driven organization, as it ensures that data flows smoothly, is properly structured and is ready for analysis.

A data engineer works across the entire data lifecycle, from raw data collection to the creation of data pipelines, ensuring that information is accurate, accessible and organized. This allows data scientists and analysts to focus on extracting insights, building models and deriving business value.

Data Engineering vs Data Science

Data engineers are in charge of building the infrastructure for data to flow correctly, as well as enable aspects such as data consolidation, the combining and storing of varied data in a single place. The analysts and scientists then consume what the engineer prepared.

Data scientists process and develop data models and then deploy them into applications using, among other things, machine learning algorithms. Data scientists have advanced knowledge of languages such as Python, R and SAS, as well as have a good understanding of statistics.s

Woman looking at computer screens

The GAP Difference

We specialize in Data Mesh, an analytical data architecture and operating model where data is treated as a product and owned by teams that most intimately know and consume the data. This approach promotes decentralized data management, while ensuring centralized data governance to ensure consistency and accessibility across domains.

One other element of data mesh architecture is federated data governance. We ensure that all teams follow standardized protocols for data categorization, access control, privacy and encryption — so that data remains consistent, secure and ready for analysis.

Is a Data Mesh Architecture Right for You? Get the Most Out of
Your Data Engineering Architecture with GAPBuilt Accelerators

Our Data Engineering Technologies and Frameworks

We use a wide range of industry-leading tools and platforms to deliver the most suitable data engineering solutions for your business needs. Our team is experienced with:

QA Automation

QA Automation

  • Cypress
  • Jest
  • Mocha
  • Selenium
  • Playwright
  • WebDriverlO
  • TestNG
  • Appium
  • Postman
  • Browserstack
  • Saucelabs
  • Python
  • Applitools eyes
  • Percy
DevSecOps

DevSecOps

  • AWS
  • Azure
  • GCP
  • Heroku
  • Docker
  • Kubernetes
  • Helm
  • Terraform
  • AWS CloudFormation
  • Azure ARM
  • Jenkins
  • CircleCI
  • Github Actions
  • GitLab C//CD
  • Azure DevOps
  • TravisCI
  • Chef
  • Puppet
  • Ansible
  • Bash
  • Powershell
  • Python
  • Datadog
  • Grafana
  • Prometheus
  • New Relic
  • Jaegar
  • Elastic Stack
  • Splunk
  • Mezmo
  • Sentry
  • SonarQube
  • Vault
  • Synk
Cloud Automation

Cloud Automation

  • AWS
  • Azure
  • GCP
  • Heroku
  • Docker
  • Kubernetes
  • Helm
  • Terraform
  • AWS CloudFormation
  • Azure ARM
  • Pulumi
  • Jenkins
  • Bicep
Data Pipelines

Data Pipelines

  • AWS
  • Azure
  • GCP
  • Snowflake

We leverage these technologies to build efficient solutions and store your data in scalable cloud platforms like AWS and Azure.
This flexibility allows us to create custom solutions that align with your specific goals.

Performing Multiple Testing Types IconData Management

Data management solutions bridge the gap between big data and business analytics. Data engineering experts develop and build systems that can transform both structured and unstructured data into useful business resources.

Leading Experts Teams
Leading Expert Teams

Data integration refers to the process of combining and merging data from various sources into a unified and coherent format. It involves extracting data from different systems, transforming it to meet the desired structure and quality standards, and loading it into a target system or database.

Defining Processes and Strategies Based on Your NeedsData Migration

Data migration can help you achieve effective data management and maximize its value in business operations. It is the process of transferring data from one system to another — which is imperative when migrating to the cloud.

Identifying Areas for Improvement Icon
Data Processing
Data processing involves applying innovative technology solutions to convert raw data into useful information. Data stored in data lakes is often unstructured and unformatted, requiring processing before an organization can derive any value from it.
Mobile dashboard interface
Mobile dashboard interface
Developer working on API

Proven Success in Diverse Industries

At GAP, we’ve successfully completed over ### data engineering projects across industries like FinTech, HealthTech, eCommerce and more. We approach every data engineering project with a focus on collaboration, customization and efficiency understanding that each organization’s data needs are unique. Our focus is to work closely with your team to design and implement a tailored data engineering solution that meets your business goals. Here are some examples of what we can help you solve:

  • Data collection, data cleansing and data warehousing
  • Structured and efficient data retrieval
  • Governing the use and accessibility of data
  • Integrating AI into trading algorithms for faster and more accurate decision-making
  • Ensuring data accuracy, consistency and availability
  • Implementing strategies and technologies to achieve data governance and regulatory compliance
  • Ensuring data protection, privacy and disaster recovery
  • Automating customer support with chatbots

RELATED INFORMATION

VIEW ALL BLOGS

How Can Data Management and Engineering Revolutionize Your CIO Role?

October 23, 2024

Data Engineering

How Can Data Management and Engineering Revolutionize Your CIO Role?

Chief Information Officer (CIO) roles continue to evolve as technology grows. Since the mainframe era, CIOs’ major roles revolve around managing IT infrastructure and ensuring system stability within an organization. And now, in the 21st century, their job responsibilities lean strongly toward innovation and strategic decisions to lead digital transformation efforts. But here’s the catch: […]

Read More
.NET 8 vs .NET 9: A Concise Guide for the Discerning Executive (Who Doesn’t Like to Waste Time)

October 15, 2024

Modernize & Mobilize, Software & Data Engineering

.NET 8 vs .NET 9: A Concise Guide for the Discerning Executive (Who Doesn’t Like to Waste Time)

We’re all too busy to waste time wading through a bunch of detailed feature descriptions and lengthy explanations. You need the bottom line and you need it now. So here’s the deal with .NET 8 vs .NET 9: .NET 8: It gets the job done. Period. If you’re on an older version of .NET (6.0 […]

Read More
Crafting a Personalized Spirits Experience

October 7, 2024

Client Spotlight, Software & Data Engineering

Crafting a Personalized Spirits Experience

Distilled spirit consumers are thirsty and not just those with sophisticated palettes. A rising trend surpasses simple tastings as distilleries are enhancing their offerings through tasting tours, storytelling, and even behind-the-scenes access to the distillation process. Some craft distilleries are expanding visitor centers and offering personalized experiences and even retreats to cater to younger affluent […]

Read More

Get a Free Consultation

TALK TO GAP EXPERTS AND ENGINEERS TODAY.

Ready to put our team to work for yours? Let’s get started. We specialize in custom software development and create data solutions to accelerate your digital transformation journey. GAP also consults on technology solutions to drive business outcomes, and helps technology teams scale faster when they lack the resources or expertise. If you’re ready to dive in, let’s make innovation your competitive advantage.

Person typing on laptop

Start typing and press enter to search