Turn Data Challenges into Competitive Advantages
Vast enterprise data often lies dormant without a comprehensive data engineering strategy and governance framework to enable and regulate data utilization, collection, management and consumption.
We start with a deep exploration of your business or use case, building a clear understanding of your data needs and technical landscape. Our data engineering consulting approach is pragmatic — we design and execute strategic plans that address real opportunities and challenges, helping you realize the full value of your data assets.
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Case Studies
Powering high-integrity Application Lifecycle Management for Biopharma R&D
Accelerated requirements delivery and quality in a complex biopharma ecosystem for a global pharmaceutical leader
Accelerating NPD and unifying digital threads for future-ready product innovation
HCLTech modernizes engineering processes to improve quality, speed and collaboration driving scalable innovation
Improving oil and gas visibility and control with AWS IATM solution
Implementing a centralized system for tracking and managing assets across ONG (Oil and Natural Gas) field operations to improve asset visibility and control.
Transforming asset inventory management with digitalized tracking and monitoring solution built on AWS
Maximize device utilization and efficiency with a unified inventory tracking solution that streamlines asset management, reduces errors and ensures accurate real-time visibility across operations.
AWS-powered smart tracking boosts productivity in healthcare
Implement Smart Material Tracking (SMT) on AWS to digitalize material handling, boost workforce efficiency and automate audits for improved accuracy and productivity in manufacturing operations.
Engineering a smarter data foundation for improving aircraft engine inspection efficiency
HCLTech's digital platform and product engineering powers multi-cloud data analytics. Enabling insights into engine’s usability status driven by data driven intelligence for an aerospace client.
Trends and Insights
The era of autonomous SOC fuelled by AI and human agents
An AI-driven, autonomous SOC combines machine speed with human judgment to automate detection and response, cut alert fatigue and accelerate remediation
The AI inflection point in Life Sciences
Artificial intelligence and its various subsets, including Generative AI, are accelerating breakthroughs across the life sciences industry
Ready to Get Started?
Contact our team and discover how we can help you turn your data into a true business advantage.
Frequently Asked Questions about Data Engineering Consulting
Data engineering consulting services help enterprises design, build and optimize data platforms and pipelines. At HCLTech, we guide clients through data strategy, architecture, modernization and analytics enablement, ensuring their data is accessible, reliable and actionable for real-world decision-making and innovation.
A data engineering consultant helps tackle issues like siloed data, outdated systems, inefficient pipelines and lack of analytics readiness. At HCLTech, we solve these challenges by modernizing platforms, streamlining data flows and enabling secure, scalable analytics so clients can unlock true business value from their data.
Graviton is our data platform modernization framework designed to help enterprises build, deploy and maintain agile, cost-efficient data platforms. It adapts as your needs evolve, providing a resilient foundation for modern data engineering and ensuring your data infrastructure is always ready for new opportunities.
Antares iDL is our modern data platform designed for scalable, industrial data solutions in the cloud era. It’s most effective in environments requiring robust, integrated data engineering and analytics—such as manufacturing, energy and large-scale enterprises—accelerating digital transformation with best-of-breed technologies.
Absolutely. By optimizing data pipelines, modernizing platforms and enabling real-time analytics, our data engineering consulting helps clients maximize the value of their data investments. We focus on actionable insights and operational efficiency, driving measurable improvements in analytics ROI and business outcomes.
We start by understanding your business goals and data landscape, then craft a tailored strategy that combines proven frameworks with modern technologies. Our data engineering consultants focus on practical, scalable solutions—ensuring your data infrastructure supports both immediate needs and long-term growth.
We blend offensive and defensive modernization strategies, transforming legacy systems into agile, cloud-ready platforms. Our approach includes assessing your current environment, defining a clear roadmap and implementing scalable data engineering solutions—ensuring seamless migration, minimal disruption and future-proofed operations.
AION is our AI lifecycle management platform that automates the entire data pipeline—from ingestion to deployable AI and ML models. With its low-code/no-code approach, AION makes advanced analytics accessible to business users, streamlining model deployment and governance while reducing operational complexity.
We embed security and scalability into every layer of our data engineering solutions. Our consultants leverage best practices in data governance, encryption and access control, while architecting platforms that scale seamlessly with your business—ensuring reliability, compliance and peace of mind as your data grows.
We move AI and ML models from proof of concept to production by automating deployment, monitoring and management. Our approach ensures robust governance, security and performance at scale—so clients can confidently integrate AI/ML into mission-critical processes and achieve lasting business impact.