Services

Data Engineering

New business possibilities with Data-led innovation.

Overview

Data Engineering strategy is foundational for any business transformation. We help you establish strong data engineering capabilities.

In a world that is rapidly becoming more intelligent and interconnected, data stands as the cornerstone of business insight and transformation. However, possessing data alone is not enough—it must be trustworthy, well-governed, and effectively utilized to unlock its true value.

Data has become the currency of the digital economy. Organizations across all industries are advancing their data maturity—some by establishing robust data governance frameworks and improving accessibility, others by embedding data-driven intelligence into their daily operations and strategic decisions.

Wherever your organization stands on the journey to data excellence, NMC Automate is your trusted partner. We help you design, build, and optimize a modern data enterprise—transforming information into actionable intelligence that drives growth, innovation, and competitive advantage.

Capabilities

Our Data Engineering capabilities

Data Architecture

  • Data engineering consulting on improvements & automation
  • Infrastructure upgrade roadmap development
  • Implementing automation into the existing infrastructure
  • Automating manual processes with CI/CD pipeline
  • Data quality or data health
  • Implementing serverless solutions

Data Pipelines

  • Data-driven app design & development
  • Extract data, transform, integrate it with other sources
  • Designing end-to-end data flow architecture
  • Implementation cloud ETL processes
  • Implementing DataOps services for automation and improving data flows
  • Enabling data observability to monitor your data in the data warehouse

Data Analytics

  • Using Big data engineering tools for enhanced decision making
  • Creating dashboard & reports visualization for analyzing Big data
  • Storing & processing data, extracting insights
  • Implementing & deploying solutions in the public cloud, or on-prem
  • Providing efficient data cataloging to understand the data