Turn Raw Data into Trusted, Decision-Ready Assets
Data Engineering
At NonStop, we build modern data platforms that turn fragmented data into governed, analytics- and AI-ready datasets, delivering 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 architectures and roadmaps aligned to business goals, covering ingestion, storage, governance, analytics, and AI from day one.
Data Warehouse & Lakehouse Engineering
We build scalable warehouses and lakehouses using Snowflake and Databricks for fast, secure analytics and reporting.
Data Pipeline Development & Orchestration
We design and run batch and streaming pipelines with Apache Airflow, Databricks, and cloud-native services for reliable, automated data flows.
Real-Time Data
Streaming & Event Processing
Using Apache Kafka and event-driven architectures, we enable real-time ingestion for dashboards, alerts, and analytics.
Data Governance,
Quality & Metadata
We implement governance with Collate to ensure ownership, lineage, quality, and auditability.
Data Security,
Masking & Privacy
We protect sensitive data using Delphix and Data Sunrise to support secure, compliant analytics and testing.
Synthetic Data Engineering
We generate compliant synthetic datasets using Synthetic Data Vault for testing and model training without exposing production data.
.gif){kind=small}
Analytics & BI Enablement
We deliver analytics-ready datasets and dashboards using Tableau and Power BI for faster insights and decisions.
.gif){kind=small}
Data Observability &
Reliability Engineering
We implement data observability to monitor freshness, volume, schema changes, and pipeline health, ensuring reliable delivery and faster issue resolution.
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)
.gif){kind=small}
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
Analytics and reporting run on governed, consistent datasets, reducing validation time and accelerating insights.
Less data downtime and firefighting
Reliable pipelines and observability minimize failures, broken dashboards, and reactive troubleshooting.
More accurate, confident decisions
High-quality, well-governed data improves the reliability of reports, forecasts, and AI outputs.
Lower operational and compliance risk
Built-in governance, lineage, and security keep data platforms audit-ready and resilient.
A foundation built to scale
Data architectures support BI today, AI tomorrow, and future use cases without rework.
Clear ownership and
accountability across data
Defined ownership and lineage reduce confusion, rework, and dependency bottlenecks across teams.
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.
.gif)
Tech Stack
Data Warehouse & Lakehouse
Snowflake
Databricks
.png)
Amazon Redshift
.png)
Pipeline Orchestration
Apache Airflow
.png)
AWS Step Functions
Data Transformation
dbt (Data Build Tool)
Data Ingestion & Streaming
Apache Kafka
.png)
Amazon Kinesis
Apache Flink
Data Batch Processing
Apache Spark
.png)
AWS Glue
.png)
Data Quality
Great Expectations
.jpeg)
Data Governance
Collate (OpenMetadata)
Unity Catalog
Security & Masking
Delphix,
DataSunrise
Synthetic Data
Synthetic Data Vault
Tonic.ai
Search & Discovery
Amazon OpenSearch
Elasticsearch
.png)
BI & Reporting
Tableau
.png)
Microsoft Power BI
Everything You Need To Build, Scale
and Secure Digital Products
.gif){kind=small}
AI & ML
Embed intelligence with predictive and generative AI from RAG workflows to ML pipelines for real outcomes.
Mobile App Development
Build fast, reliable, cross-platform mobile apps designed for scale, performance, and user adoption.
Frontend Development
Deliver intuitive, high-performance frontends that balance usability, accessibility, and enterprise-grade speed.
.gif){kind=small}
Backend Development
Engineer secure, cloud-native backends that scale from MVPs to enterprise platforms without rework.
Security & Audit
Strengthen trust with security audits, compliance readiness, and proactive risk mitigation across systems.
Quality Assurance
Ensure product reliability with automated and manual testing that protects performance, security, and user trust.
Cloud & DevOps
Speed up delivery with CI/CD automation and scalable cloud infrastructure built for uptime and cost efficiency.
UI/UX Design
Design human-centered experiences that improve usability and adoption across digital products.
