Overview
In today’s digital era, data is the backbone of every enterprise. Our data engineering services and solutions help organizations like you to unlock value by transforming raw data into structured, governed, and analytics-ready assets. With expertise across 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 strategic capabilities and our experts ensure your enterprise grows 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 services
Transforming data into decisions with end-to-end data engineering services.
Develop an enterprise-wide roadmap with our data engineering consulting services. From discovery and architecture assessment to governance and future-ready strategies, we align business goals with scalable solutions that maximize data value.
Build high-performance data pipelines for ingestion, transformation, and processing. Using modern frameworks like Kafka, Spark, DBT, and Airflow, we deliver fault-tolerant, analytics-ready pipelines.
Streamline data engineering with CI/CD pipelines, automated deployments, testing, 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.
Guarantee data accuracy and reliability with advanced QA frameworks. Our automated profiling, validation, and regression testing safeguard business-critical decisions, ensuring enterprises have access to trusted insights across every stage of their data journey.
Design and deploy modern, cloud-native data lakes that serve as a single source of truth. We enable enterprises to centralize structured and unstructured data, powering advanced analytics, AI models, and long-term data-driven transformation.
Build efficient, fault-tolerant ETL pipelines to integrate, clean, and structure large-scale datasets. Our data engineering solutions empower enterprises with accurate, analysis-ready data that accelerates decision-making, supports advanced analytics, and enhances business intelligence platforms.
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 with robust governance frameworks. We implement lineage tracking, metadata management, and compliance enforcement for regulated industries.
Our expertise
Modern Data Architecture
Design scalable data engineering architectures with cloud data lakes, warehouses, and pipelines for enterprise-wide analytics
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
Enable faster analytics with real-time and batch pipelines designed by expert data ingestion engineers
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
Accelerated delivery with CI/CD pipelines, automated testing, and observability using modern data engineering technology stacks
Industry-Specific Analytics
Enable personalization, fraud detection, or clinical insights with tailored data analytics engineering services for each sector
Data Governance & Compliance
Protect sensitive data with advanced data engineering solutions, governance frameworks, and compliance-ready analytics
Modernize your architecture with enterprise Data Engineering Services and Solutions
Our Data Capabilities
We partner with the world’s most trusted data platforms to ensure scalability, automation, and performance.
Modern, secure, and cost-efficient cloud data platform for analytics at scale
Unified platform for AI, data science, and advanced analytics
Industries we serve
Tailored data engineering services to accelerate growth across industries.
Case studies
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
Award and recognition
We are proud to be recognized by industry leaders.
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.
AWS Premier Consulting Partner with experience of multiple implementations
Snowflake Select Service Partner with 25+ certified experts
Registered Databricks Partner with 30+ certified experts
Microsoft Azure Solution Partner for Data & AI
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Subscribe nowWhy partner with us?
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 is Data Engineering and why is it 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 does Data Engineering support AI & Analytics?
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 GenAI 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 to modern data platforms?
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 Plateforms Engineering Services help my business?
Cloud data lakes centralize structured and unstructured data on platforms like AWS, Azure, GCP, Databricks, or Snowflake. They provide scalable storage, real-time access, and advanced analytics capabilities, enabling enterprises to innovate faster and deliver insights with lower costs.
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