Turn Raw Data into Trusted, Decision-Ready Assets
Data Engineering
At NonStop, we build modern data engineering platforms that turn fragmented data into governed, analytics-ready, and AI-ready datasets, ensuring reliable, compliant data for confident decision-making across legacy modernization, cloud-native platforms, and advanced analytics.
Data Engineering Solutions
Built for Real-World Use
We design production-grade data platforms, not experimental pipelines.
Data Platform Architecture & Roadmapping
We define data architecture and roadmaps aligned to business goals, covering ingestion, storage, processing, governance, and analytics, so your data platform supports growth, reporting, and AI use cases from day one.
Data Warehouse & Lakehouse Engineering
We build scalable data warehouses and lakehouse architectures using Snowflake and Databricks, enabling fast analytics, secure access, and reliable reporting across teams.
Data Pipeline Development & Orchestration
We design and manage robust batch and streaming pipelines using Apache Airflow, Databricks, and cloud-native services, ensuring consistent, automated, and observable data flows.
Real-Time Data
Streaming & Event Processing
Using Apache Kafka and event-based architectures, we enable real-time ingestion and processing for operational dashboards, alerts, and near real-time analytics.
Data Governance,
Quality & Metadata
We implement governance frameworks with Collate to ensure data ownership, lineage, quality checks, and auditability, building trust in every metric and dashboard.
Data Security,
Masking & Privacy
We protect sensitive data using Delphix and Data Sunrise, enabling secure analytics, testing, and compliance across regulated environments.
Synthetic Data Engineering
We generate compliant datasets using Synthetic Data Vault, allowing teams to test, train models, and experiment without exposing production data.
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Analytics & BI Enablement
We deliver analytics-ready datasets and dashboards using Tableau and Power BI, enabling faster insights and better decision-making across the organization.
Core Data Engineering Capabilities
Data Warehouse & Lakehouse Engineering (Snowflake, Databricks)
Data Pipeline Orchestration (Apache Airflow, Databricks)
Data Streaming (Apache Kafka)
Data Batch Processing
(AWS Step Functions)
Data Governance & Metadata Management (Collate)
Data Masking & Privacy (Delphix, Data Sunrise)
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Synthetic Data Generation
(Synthetic Data Vault)
Data Search & Discovery (AWS OpenSearch, Elasticsearch)
Business Intelligence & Reporting (Tableau, Power BI)
What You Achieve with NonStop’s Data Engineering
- Faster access to trusted data for
analytics and reporting - Reduced data downtime through reliable pipelines and observability
- Improved decision accuracy with governed, high-quality datasets
- Lower operational risk through compliance-ready data platforms
- Scalable foundations that support BI, AI, and future use cases
Why Organizations Choose
NonStop for Data Engineering
Built for Production, Not Proofs
We design data platforms that run at scale, under real workloads, with real users.
Data Trust First
Governance, quality, lineage, and security are built in,
not added later.
Cloud-Native by Design
Our architectures leverage modern cloud services for performance, flexibility, and cost efficiency.
Outcome-Driven Delivery
Every pipeline, model, and dashboard ties back to business KPIs and decision-making needs.
End-to-End Ownership
From ingestion to analytics, monitoring, and optimization, we own the full data lifecycle.
Data Engineering That Works Across Your Stack
NonStop’s data engineering integrates seamlessly with
AI & Machine Learning platforms
Backend and application systems
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Cloud & DevOps environments
Security, compliance, and audit frameworks
So your data doesn’t live in silos - it powers the entire digital ecosystem.
