KMS Technology acquires AddeptoRead the Full Press Release

Data Engineering Services

Make Smarter & Faster Decisions

Data trapped in silos doesn’t create value. It slows decisions, limits automation, and blocks AI adoption.

KMS designs and engineers enterprise-scale data platforms — from cloud data lakes and real-time pipelines to data analytics accelerator and governed data products.

We connect fragmented sources, improve data integrity, and deliver infrastructure that scales with business demand, turning raw data into a competitive advantage.

Our capabilities are strengthened by Addepto, expanding our data engineering expertise to support large-scale, production-ready environments

AI in Testing
Trusted by Leading Enterprises
Getting Started with Data Engineering

Structured AI and Data Engagements

Reduce risk, accelerate business value, and validate technical direction before large-scale investment with proven AI consulting and data platform services.

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Cloud Data Migration Strategy

Structured assessment and migration roadmap for moving legacy data warehouses and ETL processes to modern cloud platforms. Our combined teams help you choose the right architecture—Snowflake, Databricks, BigQuery—and plan the transition without disrupting operations.
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Data Analytics Accelerator

From concept to working prototype in 6 weeks. We design and build customer-facing analytics capabilities directly into your product—turning data into a differentiator that drives user engagement and retention.
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Data Pipeline Assessment

A 3-week AI data readiness assessment that uncovers bottlenecks, quantifies capability gaps, and delivers a clear roadmap for building a faster, AI-ready data foundation—with KMS's demonstrated AI consulting, data engineering, and data science expertise to support enterprise-scale impact.
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Data Pipeline Proof-of-Concept

Build and validate a production-ready streaming data pipeline in 4 weeks. Demonstrate feasibility, quantify latency improvements, and prove the business value of real-time data before committing to full-scale implementation.
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Data Platform Assessment

Comprehensive 3-week evaluation of your data architecture, pipeline performance, and integration bottlenecks. Leveraging Addepto's data engineering frameworks and KMS's delivery experience, we deliver a prioritized roadmap with quick wins and long-term modernization strategy.
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Data Quality & Governance Sprint

Rapid 2‑week engagement to identify data quality issues, establish validation rules, and implement practical governance controls. Get immediate visibility into data reliability while building the foundation for trustworthy analytics and compliant AI initiatives.
Data Engineering & Analytics Capabilities

Data Engineering Services for Scalable AI

KMS and Addepto, a KMS Company, build production-grade data platforms that scale analytics, automation, and machine learning, transforming raw information into dependable intelligence through resilient pipelines, governance, and high-performance analytics.

We design systems that make data discoverable, reliable, and actionable across the enterprise, delivering platforms engineered for complexity today and growth tomorrow.

How Data Engineering Services Work

Flexible Models, Real Results

Whether you’re modernizing legacy data infrastructure, building real-time pipelines, or scaling analytics across the enterprise, we adapt our delivery model to your data maturity and business objectives.

KMS Technology
1100+
people across the globe
5
offices in the US, Vietnam, Mexico and Poland.
17
years of experience

Data Platform Projects

Outcome-driven engagements designed to tackle specific data challenges: pipeline modernization, data quality remediation, cloud migration, or real-time streaming implementation. Delivered with defined scope, accountable delivery, and measurable infrastructure improvements.

Dedicated Data Engineering Teams

Embedded squads aligned to your platform or product, working side-by-side with your team to build and optimize data infrastructure continuously. Flexible, long-term partnerships that scale with your data needs and business growth.

Why KMS Is a Trusted Data Engineering Services Provider?

We help ambitious teams build better software—faster, smarter, and with greater impact, combining deep engineering, product thinking, and consultative insight across the full lifecycle.

Consultative Expertise

Our engineers think beyond the ticket—they challenge assumptions, improve models, and surface opportunities.

End-to-End Execution

From data pipelines to dashboards to deployed AI agents—we cover the full lifecycle.

Flexible Delivery Models

Choose project-based, squad-based, or fixed-scope engagements tailored to your needs and pace.

Product-First Mindset

Data isn’t an afterthought. Our teams are aligned with your product strategy, ensuring analytics drive real outcomes.

Proven Across Industries

Our work supports high-stakes environments in healthcare, fintech, and enterprise SaaS—with security, scale, and compliance.

FROM IDEA TO IMPACT

Data Engineering Solutions by Industry

We turn raw data into real advantage—helping high-stakes industries move faster, decide smarter, and operate with confidence.

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Financial Services

Scalable architecture for secure, high-availability systems

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Healthcare & Life Sciences

Compliance-aware modernization plans.

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Software & SaaS

Extend and connect your platforms with scalable APIs and integrations that power customer insights, embedded analytics, and partner ecosystems.

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Data Engineering Services FAQ

Can KMS integrate data from multiple platforms or legacy systems?​

Yes. We specialize in integrating data from on-premise systems, cloud platforms, and third-party tools into a unified, high-performance analytics environment.

All KMS data projects follow ISO 27001, SOC 2 Type II, and GDPR standards. We use encryption, access controls, and audit trails to protect data from ingestion through visualization.

We help clients solve a number of data and analytics challenges, from data engineering requests at mature organizations to migrating Excel-based reporting to modern BI tools. We can assist with:

  • Build and optimize data pipelines, ETL/ELT workflows, and cloud data platforms
  • Implement retrieval-augmented generation (RAG) and agentic AI for advanced analysis and knowledge retrieval.
  • Prepare and manage data for AI workloads, including synthetic data generation.
  • Deploy modern BI solutions and real-time operational dashboards (Power BI, Tableau, etc.)
  • Improve data security, quality, accuracy, and governance across the lifecycle

Yes. We specialize in integrating data from on-premise systems, cloud platforms, and third-party tools into a unified, high-performance analytics environment.

Start with a Free Data Pipeline Assessment Our experts will evaluate your current environment, identify quick wins, and design a roadmap to unlock measurable value.

Ready to turn your data into decisions with our data engineering services?

Let’s build the intelligence engine your business needs.

Thought Leadership

Insights That Drive Innovation

Stay ahead with expert perspectives on the tech shaping tomorrow.

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