Data engineering services to make your enterprise AI-ready

Data scattered across systems is difficult to manage and even harder to trust. NavAI builds the pipelines, warehouses, and lakehouses that bring it together, giving your teams unified data for faster decisions and AI.

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TRUSTED BY

Companies using our
data services

Direct integration with your current software tools lets you run instant analysis without manual transfers.

ADF Foods
Tata Trent
Pfizer
Borosil
Theisen's

DATA BUILT FOR SCALE

Build a reliable data foundation that moves your business forward

We help you build scalable data systems that help you move from scattered data to reliable insights and AI-ready solutions for faster decision-making with our data engineering services.

NavAI’s data engineering consulting is built to handle your data’s complexity and make it easier for you to migrate to Databricks or Snowflake lakehouse or build streaming pipelines on Azure or AWS. Our data engineering consulting services focus on end-to-end data to help you create a foundation that your teams can actually use and trust.

We combine data expertise with long-term scalability to help you modernize legacy systems, eliminate data silos, and stay ready for analytics, automation, and AI.

Know More
  • 26+

    Years of Data & Technology Expertise

  • 800+

    Enterprise Clients Who Trust Our Data Services

  • 3,000+

    Projects Delivered Successfully

Make your data ready for what’s next

Build the pipelines, platforms, and infrastructure your business needs to scale analytics and AI with confidence.

Talk to a Data Expert

SOLVE DATA CHALLENGES

Challenges we help you solve with our
data engineering services

Our data engineering solutions are built to handle the complexity of your data environments. Here are the advantages you get with our reliable data pipelines to help you increase accuracy and ROI.

  • Optimize data processing

    Unify data scattered across legacy, cloud, and on-prem systems with our experienced data engineering consultants. Enhance performance by handling all data processes in one centralized location.

  • Faster analytics and reporting

    Most teams work from different numbers, which slows down reports and insights. We create automated real-time data pipelines, clean raw data, and optimize storage to help your teams reach decisions faster.

  • Strong AI and ML foundations

    Most AI projects struggle because the data isn't ready. We build clean, governed, and reliable data warehouses and lakehouses that give AI models accurate, consistent information they can actually learn from.

  • Cost optimization at scale

    Inefficient queries, oversized compute, and poorly designed pipelines quietly increase expenses. We help you identify what's driving costs and redesign your platform to run more efficiently.

  • Data governance and regulatory compliance

    Data governance and compliance aren’t post-deployment add-ons. We build governance into your data platform, with access controls, lineage, and audit trails that help you meet regulatory requirements without affecting efficiency.

OUR VALUE

Empowering businesses with end-to-end
data engineering services

Handle the complexity of your data with our holistic services that help you clean, migrate, store, and secure data.

Data engineers reviewing a pipeline on dual monitors
Data pipeline building

Businesses have millions of isolated data sources that lead to siloes and formatting differences. Our data pipeline engineering offers ETL and ELT frameworks to handle data from diverse sources for efficient data management.

Cloud data migration

Legacy systems slow down growth and have security concerns. With our data migration services, move to a modern infrastructure without disrupting operations to gain a unified system for all your data that helps you work more efficiently.

Data cleaning

When data sits across multiple systems, it is rarely accurate, leading to inconsistencies and errors. Our data cleaning services improve data quality, remove errors, and prevent biases for faster and more accurate decision-making.

Data warehouses & lakehouses

Getting a unified view of data sitting across disparate sources is difficult. NavAI’s data warehousing and data lake implementation brings structured, semi-structured, and unstructured data into a scalable environment for faster analytics, reporting, and AI.

Data governance & compliance

Uncontrolled data access and poor visibility into data usage create security risks. Our data engineering services maintain governance with role-based access, encryption, and security controls that protect data throughout its lifecycle.

Data analytics

Data has little value when teams cannot turn it into clear answers quickly. Our data analytics services organize trusted data into actionable insights that help teams understand performance, identify trends, and make better decisions.

AI & ML infrastructure

AI and machine learning projects struggle when data is fragmented, inconsistent, or difficult to access. Our machine learning consulting services build the data infrastructure needed to prepare, manage, and deliver reliable data for AI and ML applications.

Hire data engineers

Building a data engineering team takes time, while project demands can change quickly. Hire data engineers from NavAI to add the expertise you need for pipelines, migration, cloud platforms, data architecture, and ongoing data initiatives.

TECH WE USE

Platforms and technologies we use to help
you modernize data

Our enterprise data engineering consulting delivers capabilities across modern cloud, data, and integration platforms and technologies to help engineer scalable infrastructures that drive large-scale transformation.

  • Microsoft Fabric
  • AWS
  • GoogleBigQuery
  • Snowflake
  • Databricks
  • Amazon Redshift
  • Azure Synapse Analytics
  • Google Cloud Storage
  • Cloudera
  • Apache Iceberg
  • Delta Lake

Have a data challenge you want to solve?

Tell us where your data is getting stuck, and we’ll help you find the right way forward.

Talk to a Data Expert

OUR APPROACH

Our agile approach focuses on
continuous growth

Our end-to-end data analytics engineering services use a defined approach to build data environments that scale with your business.

  • Strategy & discovery

    We start by assessing your data challenges, business goals, and existing architecture to define optimization roadmaps.

  • Roadmap designing

    We develop roadmaps that focus on governance, compliance, AI, and ML readiness customized to your future goals.

  • Implementation

    We use the expertise of our data engineer consultants to set up pipelines, lakehouses, and warehouses for efficient data management.

  • Migration & optimization

    Our experts migrate data in a phased approach with tests in place to minimize risks and maintain data quality while it is transported to modern systems.

  • Quality & governance

    Our data validation checks, access controls, and performance metrics enhance data integrity, quality, and accuracy so that trust is maintained at each step.

  • Maintenance & support

    Our ongoing monitoring, troubleshooting, and support keep platforms performing at optimal levels so that your business remains scalable.

OUR DIFFERENTIATOR

Why businesses choose NavAI for their
data engineering challenges

  • 1

    Built for your data environment

    We work across cloud, on-prem, and hybrid environments to build data systems around your existing technology and business needs.

  • 2

    End-to-end data expertise

    From data integration and migration to pipelines, warehouses, and lakehouses, our data engineering consultants handle the full data journey.

  • 3

    Flexible technology choices

    Choose the platforms that fit your business. We work across leading cloud, data, and analytics technologies without forcing you into one stack.

  • 4

    Built to scale with you

    Our data engineering solutions are designed to handle growing data volumes, new sources, and changing business requirements without creating unnecessary complexity.

Case Studies

Industry leaders who use our data engineering services

One view for faster, smarter merchandising

NavAI unified ERP, POS, OMS, PLM, and marketplace data into one conversational intelligence layer, helping a retail giant spot trends earlier and make faster merchandising decisions.

Frequently asked questions

Common questions about data engineering

Can your data engineering services support data from several different sources?

Yes, our data engineering services can integrate data from databases, REST APIs, cloud applications, legacy systems, and other enterprise sources. We design pipelines that collect, transform, validate, and deliver data into your warehouse, lakehouse, or other environments. This creates a powerful data foundation without replacing your existing systems.

Do you outsource data engineers?

Yes, you can hire data engineers from NavAI as an extension of our data engineering solutions. We provide data engineers and specialists based on your project requirements, tech stack, and delivery model. This gives you access to data engineering expertise without the cost of hiring and managing an entire in-house team.

How do you ensure data governance and compliance?

We focus on data governance and compliance from the very beginning. This can include access controls, data validation, lineage, metadata management, audit trails, security policies, and monitoring. We align these controls with your requirements and applicable regulations so that data remains secure, traceable, and reliable throughout its lifecycle.

How long do data engineering services take?

The timeline depends on the size and complexity of your data environment, but most projects begin with a discovery and architecture assessment. We evaluate your sources, infrastructure, migration needs, data quality, and business requirements before developing an implementation roadmap. This means timelines are based on your actual scope.

Do you provide post-deployment support and maintenance services?

Yes, we provide post-deployment support and maintenance to keep your data environment agile as your business and data volumes grow. Our support includes monitoring, troubleshooting, performance optimization, pipeline maintenance, data quality checks, security updates, and ongoing enhancements. We continue supporting the environment after implementation or work alongside your internal data team.

How are ELT vs ETL frameworks different, and which one should we choose?

ETL (Extract, Transform, Load) transforms data on an external server before loading it, while ELT (Extract, Load, Transform) loads raw data first and transforms it within the data warehouse. ETL suits legacy environments and specific processing requirements, while ELT works well with modern cloud warehouses and lakehouses. Our ETL consulting services help you choose the right approach based on your data, architecture, security, and scale.

Ready to build a data foundation you can rely on?

From pipelines and migration to warehouses and AI-ready infrastructure, NavAI helps you build data systems that work for your business today and scale with it tomorrow.

Book a Free Demo