Data Engineering

Experience the transformative power of data-driven innovation

Take a new approach to data engineering for the scale and agility needed for data monetization, AI governance, and modern product organizationswithout sacrificing security and quality

GlobalLogic can help you use AI to optimize energy consumption and contribute to a greener future

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How we help

Best practices lead to better outcomes

GlobalLogic helps organizations streamline data development, speed innovation, optimize resource utilization, and improve the developer experience using standardized tools, reusable infrastructure, and self-service capabilities.

ISG Provider Lens

GlobalLogic ranked as a Leader in Generative AI Services

Strategy and Consulting Services Development and Deployment Services 2024 Quadrant

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Our capabilities

Remove the barriers to insight

Empower data scientists and line of business users with self-service access to ready-to-go datasets they can use to generate intelligent insights.

Research-Based Data Empowerment

Shape and monetize data with faster time to value and validated commercial viability using human-centered design that drives value for customers and employees.

Data Platform Engineering

Prepare data for AI and advanced analytics by gathering, transforming, and enriching data from across the enterprise to create a single source of truth.

Content Alignment and Engineering

Power ML with human expertise at scale using data-informed, design-led engineering to optimize data inference curation, develop precise prompts that yield actionable insights, and validate outputs.

Data Science, AI, and ML

Create a data science foundation for AI and ML starting with data collection, preparation, and exploratory data analysis through to model training, evaluation, deployment, monitoring, and maintenance.

Data and AI Governance

Manage and organize data to ensure it meets quality, governance, and regulatory standards, including controlling access to data with proper security layers.

Engineering insights

Reference architecture models for big data and analytics

Explore a reference architecture for Big Data and Analytics including a checklist of components you can consider and evaluate when architecting an enterprise data platform.

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Our work

Case studies

Discover how we’re engineering impact with clients around the world.

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From Legacy to Leading-edge: A Global Software Leader’s AI-Driven Angular Migration

GlobalLogic

Streamlining API Documentation with GenAI-Enabled Automation

GlobalLogic

Streamlining the SDLC for a Leader in Global Energy Technology

GlobalLogic
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data / AI technologies / products expertise
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executed projects
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engineers and architects

Leaders in Data Engineering

Meet our global leaders in Data Engineering.

Vishal Umredkar

Principal Architect

Designing and delivering cloud-native solutions in big data  and microservices horizontals.

Sunil Singh

Vice President-Technology

Driving innovation and optimizing data-driven decisions through strategic technology integration.

Harry Miller

Solution Director

Driving transformation and innovation using disruptive technologies across cloud, data, and AI.

Featured insights

Explore fresh thinking from GlobalLogic’s strategists and engineers.

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Blogs
Michael Lewandowski
17 diciembre 2025

Ingeniería para el cambio: cómo las plataformas adaptativas definirán el …

AI-Powered SDLCGenAIFinancial Services
Ingeniería para el cambio: cómo las plataformas adaptativas definirán el liderazgo en los servicios financieros
Blogs
Mike Connors
16 diciembre 2025

Más allá de las palabras de moda: por qué «código, capital y cambio» es un …

Durante los últimos meses, en conversaciones con empresas de los sectores …

AI-Powered SDLCGenAIFinancial Services
Más allá de las palabras de moda: por qué «código, capital y cambio» es un imperativo estratégico para las instituciones financieras
Blogs
Vivek Daga
16 diciembre 2025

Capital, reinventado: diseñando la próxima frontera del valor en los servicios …

Cuando hablamos del capital como parte de las 3 C (capital, control y control) …

AI-Powered SDLCGenAITransformation AdvisoryFinancial Services
Capital, reinventado: diseñando la próxima frontera del valor en los servicios financieros
FAQs

Your Data Engineering questions, answered

Learn more about Data Engineering at GlobalLogic.

  • What is Data Engineering, and why is it important?
    Data Engineering is the practice of designing, building, and maintaining systems that collect, store, and process large volumes of data. At GlobalLogic, our Data Engineering services focus on enabling organizations to effectively leverage their data for advanced analytics, artificial intelligence, and informed decision-making. In ensuring scalability, reliability, and security, we help businesses unlock the full potential of their data.
  • What services does GlobalLogic provide in Data Engineering?
    GlobalLogic provides a wide range of Data Engineering services. These include building robust data platforms that support artificial intelligence and advanced analytics, implementing governance frameworks to ensure data quality and compliance, and preparing datasets for machine learning model training and deployment. We also specialize in optimizing data for actionable insights, ensuring our clients can harness the power of their data to drive innovation and business outcomes.
  • Can GlobalLogic help modernize my data architecture?
    Absolutely. GlobalLogic specializes in modernizing legacy data systems by integrating modern data lakes, warehouses, and advanced cloud technologies. Our solutions enable organizations to transition to a unified, agile, and scalable data ecosystem that is fully prepared for the demands of next-generation artificial intelligence and analytics applications.
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Empecemos a generar impacto en conjunto.

GlobalLogic ofrece una combinación única de experiencia y conocimientos en la intersección entre datos, diseño e ingeniería.