Data Engineering

By modernizing data pipelines that will transform and transport data at scale, you can:

  • Increase organizational agility
  • Simplify data acquisition, storage, and retention of big data in the cloud
  • Enhance data access and delivery with API management and governance
  • Improve automation, collaboration, quality, and speed of development and deployment

IBM shows automating data engineering tasks and augmenting data integration can offer up to a 60X acceleration in data delivery time.

Today, your data is probably stored on-premise and in the cloud. To convert data to meaningful information, you need modern data pipelines at scale that can handle massive amounts of data. In fact, 85% of IT leaders report integration challenges are hindering their digital transformation efforts.

Regardless of how it is stored or its location, approved internal and external users need access so your business can operate efficiently. Data users who understand, standardize, and validate big data’s velocity, volume, value, variety, and integrity can transform it into meaningful information, enabling them to be more customer-centric.

Optimize your data engineering through:

Streaming & Batch Integration

Consolidate data company-wide and enable data analysis for business insights.

Data Hub/Data Mesh

Move data seamlessly between on-site and cloud storage using data-domain-based models.

Hybrid Integration

Integrate data and applications across all on-site and multi-cloud environments.

API Management

Build, deploy, and measure an API-first ecosystem using a single unified service’s microservice-based data and application APIs.

Engineering Center of Excellence (COE)

Innovation center and advisory and managed services to enable best practices in data engineering.

The Data Engineering team has 15+ years of large-scale project delivery experience dating back to the traditional ETL and modern data engineering and integration solutions, including archetypes such as data fabric, data mesh, and data lakehouse. We have a proven track record for implementing solutions that modernize your data pipeline so you can deliver ready-to-use, clean and complete data that stakeholders can trust.

Read our quick start guide to learn more.

Understand and Leverage the Power of Data Engineering

Optimize Data

Increase organizational agility by consolidating data from multiple sources.

Enhance Data Performance

Deliver clean and complete data that you can use to generate actionable insights.

Improve Data Agility

Increase speed of insights by moving data seamlessly between cloud and on-prem applications.

Level-up Data Acquisition

Simplify data acquisition by integrating data and applications across on-prem and multi-cloud environments.

Success Stories

Manufacturing, Supply Chain & Logistics

Data Engineering

Integration Admin for Global Leader in Home & Security Solutions

Business Need

Informatica skilled team to manage tool adminstration: configuration, administration, patches, upgrades, and monitoring for the infrastructure Reduce risk by improving…

Challenge

Tool and system availability key for the movement of data and critical information across the enterprise Lack of internal expertise…

Solution & Results

Provided Informatica administration managed services (MSP) Eliminated ticket backlog Reduced enhancement backlog by 90% Improved business satisfaction by 20% and…

Finance

Data Engineering

Data Lake Modernization & Automation for Credit Union

Business Need

Modernized and consolidated data lake to support existing Power BI dashboards Replace current raw data transformation processes Data structured to…

Challenge

Minimal automation, requiring report manipulation Low confidence in process/data Inability to capture true current cost Process perceived as slow and…

Solution & Results

Modernized and automated data lake, improving performance and reducing cost Improved member/customer view and historical look-back, driving data-driven decision-making across…

High Tech

Data Engineering

Cloud Integration for Largest Independent Real Estate Brokerage

Business Need

Cloud data warehouse Integrate online and 3rd party vendor applications to capture real-time data and customer feedback Convert legacy (Python)…

Challenge

Complex Python ETL with no data model or system documentation Online application data on no SQL databases or 3rd party…

Solution & Results

Informatica cloud application real-time integration of Qualtrics feedback, Survey System and MongoDB Converted 100+ complex Python ETL interactions with IICS…

High Tech

Data Engineering

Cloud Integration for World’s Largest Domain Name Registrar

Business Need

New cloud-based ERP system with flexibility to impact finance, HR, and planning Connect hybrid technical landscape from legacy systems to…

Challenge

Cumbersome cloud ERP implementation taking internal resources Current legacy infrastructure heavily customized to address business needs Integration points built using…

Solution & Results

Informatica cloud application real-time integration of Workday HCM system with ERP finance system Enabled interconnectivity of legacy (on-prem) and cloud…

Testimonials

Paradigm Insights