Building intelligent, cloud-native foundations for enterprise-scale data.
Data Engineering & Integration
Designing cloud-native data ecosystems that connect, cleanse, and prepare information for enterprise intelligence.
Modernize how your enterprise captures, connects, and uses data.
A retail chain struggling to sync its store, online, and warehouse data. An airline trying to predict delays with information scattered across multiple systems. These are everyday challenges that show why data engineering matters.
At Eightfolds, we design cloud-native data ecosystems that connect, cleanse, and prepare information for enterprise intelligence. We build the architecture, governance, and automation layers that turn raw data into a single, trusted foundation ready for analytics, AI, and intelligent business applications.
Projects completed
Years of experience
Our Core Capabilities in Data Engineering & Integration
Bringing together architecture, governance, and automation to build trusted, analytics-ready data ecosystems.

Data Modernization & Integration

Data Architecture & Automation

Metadata & Governance

Lakehouse & Mesh Implementation

CloudOps for Data Pipelines

Data Quality & Observability
Eightfolds Approach to Data Engineering & Integration
Transforming fragmented data into intelligent, usable, and scalable enterprise systems — and into AI solutions that deliver really works.
We begin with a clear understanding of your business goals, existing data landscape, and challenges. Every engagement starts with alignment between technical priorities and measurable business outcomes.
We design modular, cloud-native architectures that can evolve with your enterprise. Every component is built to scale, adapt, and integrate seamlessly with existing systems.
Governance and security are integrated into the design, not added later. Data lineage, access control, and compliance guardrails ensure trust and reliability from the start.
We transform raw data into well-modeled, reusable assets. Pipelines, metadata, and APIs are designed for accessibility so teams across the enterprise can use data confidently.
Using CloudOps, DataOps, and MLOps, we automate scaling, monitor performance, and fine-tune workloads. This reduces cost and improves data agility at every layer.
Once the system is live, we stay engaged — measuring outcomes, enabling new use cases, and maturing your data ecosystem toward predictive and AI-driven intelligence.
Why Choose Eightfolds for Your Data Engineering & Integration Needs
For a global retail and fleet enterprise, Eightfolds unified 12 legacy systems into a governed data cloud. The result — 30% faster analytics, 40% lower infrastructure cost, and real-time visibility across markets.
Professionals
Experience
Deep Expertise in Enterprise Data Foundations
Client-Centric Approach
Highly Experienced Team
Proven Track Record Across Industries
Benefits of Partnering with Eightfolds for Data Engineering & Integration
Drive measurable growth by harnessing strategic technology guidance designed specifically for Enterprise.

Clear, Measurable ROI

Increased Productivity

Enhanced Customer Engagement

Reduced Operational Costs

Informed Decision-Making

Risk Mitigation & Compliance
Ready to Transform Your Data Engineering & Integration?
Let’s discuss how how our tech advisory can practically boost efficiency, productivity, and profitability for your business.
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Industries We Serve
We help businesses modernize their operations, adopt the right technology, and scale efficiently through smarter systems and automation.
Accounting & Finance
Retail & Ecommerce
Research, Survey & Market Intelligence
Health & Wellness
Media & OTT Platforms
Government & Public Sector
Manufacturing & Supply Chain
Education & EdTech
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Ravi Mehta
CEONina Kapoor
FounderSanjay Verma
DirectorReady to Discuss Your Project?
Frequently Asked Questions
We’re here to answer your questions.
What exactly do you mean by Data Engineering & Integration?
It is the process of connecting, structuring, and governing enterprise data so it becomes usable and analytics-ready. We build cloud-native architectures that unify fragmented systems and prepare information for reliable insights and AI-driven decisions.
How quickly can we see value from Data Engineering & Integration?
We follow an agile, collaborative approach where every phase delivers visible outcomes. You start seeing value as the system evolves, not just at the end.
Can you work with our existing tools and data stack?
Yes. We take an integration-first approach, connecting your current systems and modernizing only where it improves performance or scalability.
How do you manage cloud cost while scaling data operations?
Our CloudOps practices continuously monitor workloads, right-size resources, and automate scaling. This keeps performance high and costs predictable.
What governance standards do you follow?
We align with ISO, SOC2, and GDPR standards. Lineage, access controls, and compliance checks are built directly into every architecture we design.
Does this make our AI initiatives faster to deploy?
Yes. Structured, governed data shortens AI development cycles and reduces deployment errors, helping teams move from pilot to production faster.
Do you support real-time and streaming use cases?
Yes. We design for both batch and real-time data, supporting event streaming, sensor data, and live dashboards across industries.
Which industries benefit the most from this solution?
We have helped enterprises in eCommerce, mobility, airlines, fintech, and OTT build unified, intelligent data ecosystems that drive better outcomes.
