Enterprise Data Engineering
Services Built for Scale
Modern enterprises don’t struggle with a lack of data, they struggle with making data reliable, usable, and scalable. Our data engineering services and solutions help organizations unlock value by transforming raw data into structured, governed, and analytics-ready assets.
With expertise across enterprise data engineering strategy, architecture, and governance, we deliver secure, scalable, and compliant ecosystems that accelerate business outcomes. By leveraging robust cloud-native architectures, AI-powered analytics, and governance frameworks, we streamline the ingestion, processing, and analysis of your data.
We don’t just manage data; we engineer capabilities that ensure your organization thrives in the data-driven era.
- 30+enterprise data lake implementations across AWS, Azure, and GCP
- 100+ data experts delivering global solutions across industries
- Zero Downtime for petabyte-scale migrations to cloud
Companies that trust us
Our End-to-End Data Engineering Services
We offer data engineering as a service, enabling enterprises to scale capabilities on demand while maintaining governance, security, and cost efficiency.
Build an enterprise-wide data roadmap with our data engineering consulting services. We assess architecture, governance, and operating models to design scalable foundations that unlock business value. Each engagement delivers a clear data engineering strategy aligned to growth priorities, AI adoption, and regulatory compliance.
Design and build scalable, high-performance data pipelines that ensure seamless ingestion, transformation, and delivery of trusted data for analytics and AI workloads.
Streamline data engineering with CI/CD pipelines, automated deployments, and 24/7 monitoring. Our DevOps-driven managed services ensure reliability, optimize performance, reduce errors, and enable faster innovation while supporting scalable, efficient, and secure enterprise data operations.
Ensure data accuracy, consistency, and reliability with advanced QA frameworks. Automated profiling, validation, and regression testing safeguard business-critical decisions, providing access to trusted insights across every stage of the data journey.
We help enterprises establish modern data ecosystems with cloud-based data lakes and efficient ETL pipelines. Our solutions enable seamless data ingestion, transformation, and storage to support advanced analytics, business intelligence, and machine learning use cases.
Seamlessly migrate from legacy warehouses, Hadoop, or on-prem systems to Snowflake, Databricks, AWS, Azure, or GCP. We ensure zero downtime, secure transfers, and optimized performance.
Build trust and accountability with robust data governance frameworks. We enable end-to-end visibility and control through data lineage tracking, access management, data cataloging, and policy automation, ensuring security, compliance, and consistent data usage across the enterprise.
Our Data Capabilities
We leverage best-in-class data engineering tools across cloud platforms, orchestration, streaming, and observability to build resilient, high-performance pipelines.
Modern, secure, and scalable cloud data platform enabling seamless data sharing, analytics, and governance at scale
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Unified platform for data engineering, AI, and advanced analytics, integrating data, collaboration, and machine learning workflows
Our expertise
Modern Data Architecture
Design cloud-native data engineering architectures using data lakes, warehouses, and scalable pipelines to support enterprise analytics, governance, and AI-driven use cases across AWS, Azure, and GCP
GenAI + Data Engineering
Combine advanced analytics solutions with Generative AI to optimize ingestion, automate anomaly detection, and scale AI-ready architectures across cloud-native data engineering services
Real-Time Data Processing
Build real-time and batch data pipelines that enable low-latency analytics, streaming insights, and operational intelligence for data-intensive enterprise environments
Legacy-to-Cloud Migration
Seamless modernization of Hadoop, Hive, and legacy DWHs with secure data engineering consulting and enterprise data lake engineering services
Automation & DevOps for Data
Accelerate delivery with CI/CD, automated testing, observability, and DevOps practices across enterprise data engineering workflows
Industry-Specific Analytics
Enable personalization, fraud detection, or clinical insights with tailored data analytics engineering services for each sector
AI-Enabled Data Engineering for Smarter, Faster Decisions
Our enterprise data services embed GenAI and AI automation where they drive real business impact, improving data usability, reliability, and decision speed. We focus on two high-value AI capabilities that directly strengthen enterprise data foundations and analytics outcomes.
Key capabilities
GenAI-driven data exploration, quality, & summarization
Smarter automation across ingestion, transformation, testing, and monitoring
AI-powered pipelines with self-healing and continuous optimization
Intelligent metadata enabling governed, compliant, and business-ready data
Synthetic data enabling privacy-safe AI innovation
Adaptive data pipelines optimizing performance, scale, and cost
What Enterprises Achieve with Our Data Engineering Services
Our data engineering solutions help enterprises move from fragmented data systems to high-performance, analytics-ready data platforms that support faster decisions, AI initiatives, and measurable business outcomes.
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Faster, more confident decision-making
By delivering clean, reliable, and timely data, we help leaders make decisions based on a single source of truth rather than fragmented reports and manual reconciliations
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Turn raw data into analytics-ready assets
We transform complex, siloed data into well-structured, governed datasets that analytics and BI teams can use immediately, reducing time-to-insight
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Improve operational efficiency through automation
Smarter automation across pipelines reduces manual intervention, accelerates delivery cycles, and minimizes downtime caused by data failures
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Strengthen data trust and compliance
With built-in governance, quality checks, and lineage, enterprises gain confidence in their data while meeting regulatory and security requirements
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Build AI-ready data foundations
Our data engineering capabilities ensure data is scalable, reliable, and accessible, creating the foundation required for advanced analytics and AI initiatives
Data Engineering Solutions for Every Industry
Our data engineering expertise spans complex, data-intensive industries.
Proven Impact of Our Data Engineering Solutions
How our data engineering services empower innovation and success across industries.
Achieved
real-time insights and enhanced decision-making
Enabled
scalable analytics by delivering seamless & real-time data transformations
Tech used
90%
improvement in data accuracy through a centralized, validated data lake
Automated
data pipelines enabled seamless ingestion and processing across diverse sources
Tech used
Enhanced
user experience with faster product discovery, tailored content, and reduced support queries
Improved
operational efficiency through intelligent content delivery
Tech used
Awards and Certifications
Our commitment to data engineering excellence is reflected in long-term enterprise partnerships, certified expertise, and consistent delivery at scale.
Listed as one of the Top IT Vendors for our Data & Analytics capabilities
Featured in the Everest PEAK® Matrix for Mid-Market Enterprise Analytics Services
ISO 27001 certified, upholding the highest standards of information security and risk management
SOC 2 compliant, ensuring secure, reliable, and privacy-first data engineering solutions
Our Strategic Partnerships
We are partners with leading data platforms to deliver enterprise grade solutions for your business.
Modernize your architecture with our data
engineering services and solutions
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Subscribe nowWhy Partner with TO THE NEW for Data Engineering Services?
Trusted by enterprises for secure and compliance ready data engineering services:
- 30+ global enterprise data lake engineering services implementations across AWS, Azure, and GCP
- 100+ certified data engineering consultants with deep expertise across cloud, DevOps, and analytics
- Enhanced decision-making with data engineering services that deliver timely, analytics-ready insights
- AI, automation, and real-time pipelines embedded into modern architectures for future-ready enterprises
- Maximize data value with agile data engineering strategies that uncover efficiency gains and reduce costs
FAQs
What are enterprise data engineering services and why are they important?
Data engineering services involve designing, building, and managing pipelines that transform raw data into analytics-ready assets. They ensure data is reliable, accessible, and scalable for advanced analytics, machine learning, and business intelligence, enabling enterprises to make informed, data-driven decisions.
How does TO THE NEW ensure data quality?
We integrate data quality assurance (Data QA), automated validation, and governance frameworks into every project. This ensures data is accurate, consistent, secure, and compliant with enterprise regulations like SOC 2 and ISO 27001.
Can you migrate large legacy data systems to cloud platforms?
Yes. We have successfully migrated petabytes of data from legacy Hadoop, Hive, and on-prem warehouses to Databricks, Snowflake, and AWS. Our methodology ensures zero downtime, minimal risk, and optimized performance post-migration.
Do you offer accelerators for faster implementation?
Absolutely. Our NIMBUS toolkit reduces time-to-market by 20%, offering pre-built modules for data ingestion, schema mapping, validation, and profiling, helping clients gain insights faster.
How do data engineering services support AI and data analytics solutions?
By ensuring data is well-structured, governed, and analytics-ready, Data Engineering lays the foundation for machine learning models, predictive analytics, and real-time decision-making. Without robust engineering, AI initiatives fail to scale.
What is the role of GenAI in Data Engineering?
GenAI enhances data engineering by automating pipeline monitoring, generating synthetic datasets, and improving predictive accuracy. Combining Generative AI with traditional data engineering services enables enterprises to build AI-ready ecosystems that are self-healing, resilient, and optimized for real-time decision-making.
Can you migrate legacy systems using enterprise data engineering services?
Yes. We specialize in enterprise data lake engineering services and legacy-to-cloud migrations. Our teams seamlessly modernize Hadoop clusters, Hive, and on-prem data warehouses, ensuring zero downtime, improved performance, and cloud-native scalability on Databricks, Snowflake, and AWS.
How can cloud data platforms engineering services help my business?
Cloud data platforms centralize structured and unstructured data across AWS, Azure, GCP, Databricks, and Snowflake, enabling scalable storage, real-time access, governed data management, and advanced analytics, helping enterprises innovate faster, reduce costs, and drive data-driven decisions.
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