Cloud Data Engineering Services

Build Scalable, Cloud-Native Data Ecosystems for Smarter Decisions

Struggling with massive data and integration challenges? NaNLABS is the tech sidekick of e-mobility pioneers, SaaS platforms, and cybersecurity leaders, scaling operations with real-time data, predictive monitoring, and AI-ready systems. We build cloud-native architectures with ETL pipelines, lakehouses, and warehouses to simplify complexity and unlock smarter, faster decisions.

Get your AI-ready data blueprint

Data Engineering Challenges

Data Issues? We’ll Solve Them For With You.

Get your battle-tested squad in cloud-native data engineering.The blockers that stall innovation? We’ve tackled them head-on, delivering scalable solutions that keep your business agile, AI-ready, and always moving forward.

Too Much Data?

As your business grows, so does your data, and without the right cloud data services, complexity creeps in fast.

Disconnected Systems?

Fragmented data prevents a unified view, causing inefficiencies, delaying critical decisions, and leaving valuable insights uncaptured.

Need to Extract More Business Value?

Without optimized data pipelines, you limit your ability to scale, automate, and make data-driven decisions at speed.

Join the Innovators Driving Change with Data

What We Do

Cloud Data Engineering for Business Insights

At NaNLABS, we design and implement modern, cloud-native data infrastructures on AWS, Databricks, and Snowflake, designed for performance, scalability, and cost efficiency in high-impact sectors like EV charging, SaaS, cybersecurity, and insurance.Our data cloud services include:

Data Optimization

Structure and optimize large-scale data volumes to accelerate analysis, power AI models, and reduce operational costs.We leverage AWS auto-scaling, Redshift Spectrum, and Databricks clusters to dynamically adjust to your needs, minimizing costs while maximizing performance.

System Integration

Integrate data from APIs, logs, databases, and IoT into a single, scalable ecosystem, so your data flows without friction.With automated ETL pipelines using AWS Glue and AWS Data Pipeline, we orchestrate seamless ingestion and transformation into centralized systems.

Modern Data Architecture

You might need either a Data Warehouse, Data Lake, or Data Lakehouse. Wonder what the difference is?We help you choose and implement the right model, from AWS Redshift for BI-ready warehousing, to Databricks-powered lakehouses that unify data and scale AI across your business.

Design a scalable, AI-ready data architecture with your tech sidekick

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Data Engineering Use Cases

Powering Real-World Innovation With Data Cloud Services

Our cloud data engineering services unlock insights, streamline operations, and fuel AI-driven decisions, from EV charging platforms to SaaS and cyber-risk analytics.Find out how we’ve helped companies turn data into real results:

Cybersecurity & Insurance Analytics

A leading cyber risk analytics firm needed a faster, more reliable way to assess risk using security logs, dark web intelligence, and vulnerability data.We delivered a high-performance AWS Redshift data warehouse with automated ETL pipelines and AI-powered cybersecurity insights, speeding up risk scoring, improving underwriting accuracy, and enabling proactive threat detection.

AI & ML Model Training for Automotive Analytics

A connected vehicle analytics company required AI-ready data pipelines to process telemetry and driving behavior for predictive maintenance.We built a Databricks + AWS Redshift-powered data lakehouse, supporting insights discovery, proactive maintenance, and enabling custom ML model training, all with scalability for future fleet growth.

Data-Driven Growth for SaaS & Digital Platforms

A SaaS provider struggled with slow queries caused by fragmented, unstructured customer behavior data.We designed a cloud-native data warehouse on AWS Redshift to enable fast, complex analytics queries and power advanced dashboards that drive better retention and engagement.

Real-Time Monitoring for EV Charging Networks

A CPO with 3,000+ stations needed unified, real-time data to cut downtime.We built a cloud-native system with Amazon Kinesis and Databricks to detect anomalies and trigger predictive maintenance, achieving 40% less downtime, full network visibility, and an AI-ready foundation for smart energy optimization.

"NaNLABS is the closest you can have to having an employee working on your team. From my prior experience with NaNLABS, I knew they’re very easy to work with and become an extension of your company."

Greg Svitak

Chief Software Engineer at IONNA

Case Study

Scaling Analytics for Growth with Cloud Engineering

INE, a global leader in IT training and certifications, delivers hands-on learning to IT professionals and Fortune 500 companies. But as their platform expanded, scaling analytics without ballooning costs became a major challenge.

In just 40 days, we designed and deployed a robust, scalable analytics ecosystem, covering data processing and visualization, all built on cost-efficient cloud storage technologies. By implementing Infrastructure as Code (IaC), we also streamlined deployment and management, ensuring the system could adapt as demand grew.

The result: up to 80% cost savings during peak usage, with analytics that scale effortlessly alongside INE’s growth.

Read the story

Business Outlines

Scaling Smarter with NaNLABS: The Backbone of Data-Driven Growth

Here’s how your team can turn complex data into a strategic advantage, with solutions built for real-world scale:

AI-Driven Decision-Making at Scale

Unlock enterprise-wide insights by structuring, integrating, and optimizing your data for AI-powered analytics and business intelligence.

Seamless Data Integration for a Unified View

Eliminate silos by connecting APIs, logs, databases, and IoT data into a single source of truth, improving operational clarity and decision-making.

Future-Proofed Data Architecture

From Warehouses to Lakehouses, we design cloud-native architectures that scale with your business, not just your data.

Lower Infrastructure Costs, Higher Efficiency

Optimize cloud storage and processing power, reducing costs while ensuring high-speed performance and seamless scalability.

Stronger Data Governance & Compliance

Stay on top of regulatory changes with strong data governance, ensuring accuracy and security while empowering your team to make confident decisions.

Accelerated Time to Market

Streamline data pipelines and reduce time spent on data preparation, enabling your teams to focus on delivering products and services that drive growth.

Ready to craft your AI-ready data architecture?Build it with your tech sidekick