Data Platform Architecture & Roadmapping
We define data architectures and roadmaps aligned to business goals, covering ingestion, storage, governance, analytics, and AI from day one.
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.
Snowflake · DatabricksAirflow · dbtPHI governance
Data Engineering Solutions Built for Real-World Use
We design production-grade data platforms, not experimental pipelines.
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
Our teams include bioinformatics engineers who have built and maintained production pipelines.
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.
Analytics & BI Enablement
We deliver analytics-ready datasets and dashboards using Tableau and Power BI for faster insights and decisions.
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)
- Synthetic Data Generation (Synthetic Data Vault)
- Data Search & Discovery (AWS OpenSearch, Elasticsearch)
- Business Intelligence & Reporting (Tableau, Power BI)
- Data Modelling
- Data Product Development
- Data Migration
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)
Synthetic Data Generation (Synthetic Data Vault)
Data Search & Discovery (AWS OpenSearch, Elasticsearch)
Business Intelligence & Reporting (Tableau, Power BI)
Data Modelling
Data MigrationData 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) · Synthetic Data Generation (Synthetic Data Vault) · Data Search & Discovery (AWS OpenSearch, Elasticsearch) · Business Intelligence & Reporting (Tableau, Power BI) · Data Modelling · Data Product Development · Data Migration
What You Achieve with NonStop’s Data Engineering
Data Engineering ServicesFaster 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.
Data Engineering That Works Across Your Stack
- AI & Machine Learning platforms
- Backend and application systems
- Cloud & DevOps environments
- Security, compliance, and audit frameworks
AI & Machine Learning platforms
Backend and application systems
Cloud & DevOps environments
Security, compliance, and audit frameworksAI & Machine Learning platforms · Backend and application systems · Cloud & DevOps environments · Security, compliance, and audit frameworks
Tech Stack
Data Warehouse & Lakehouse
- Snowflake
- Databricks
- Amazon Redshift
Snowflake
Databricks
Amazon RedshiftSnowflake · Databricks · Amazon Redshift
Pipeline Orchestration
- Apache Airflow
Apache AirflowApache Airflow
Data Transformation
- dbt (Data Build Tool)
dbt (Data Build Tool)dbt (Data Build Tool)
Data Ingestion & Streaming
- Apache Kafka
- Amazon Kinesis
- Apache Flink
Apache Kafka
Amazon Kinesis
Apache FlinkApache Kafka · Amazon Kinesis · Apache Flink
Data Batch Processing
- Apache Spark
- Pinecone
Apache Spark
PineconeApache Spark · Pinecone
Data Quality
- Great Expectations
Great ExpectationsGreat Expectations
Data Governance
- Collate (OpenMetadata)
- Unity Catalog
Collate (OpenMetadata)
Unity CatalogCollate (OpenMetadata) · Unity Catalog
Security & Masking
- Delphix,
- DataSunrise
Delphix,
DataSunriseDelphix, · DataSunrise
Synthetic Data
- Synthetic Data Vault
- Tonic.ai
Synthetic Data Vault
Tonic.aiSynthetic Data Vault · Tonic.ai
Search & Discovery
- Amazon OpenSearch
- Elasticsearch
Amazon OpenSearch
ElasticsearchAmazon OpenSearch · Elasticsearch
BI & Reporting
- Tableau
- Microsoft Power BI
Tableau
Microsoft Power BITableau · Microsoft Power BI
Everything You Need To Build, Scale and Secure Digital Products
AI & MLEmbed intelligence with predictive and generative AI from RAG workflows to ML pipelines for real outcomes.
Mobile App DevelopmentBuild fast, reliable, cross-platform mobile apps designed for scale, performance, and user adoption.
Frontend DevelopmentDeliver intuitive, high-performance frontends that balance usability, accessibility, and enterprise-grade speed.
Backend DevelopmentEngineer secure, cloud-native backends that scale from MVPs to enterprise platforms without rework.
Security & AuditStrengthen trust with security audits, compliance readiness, and proactive risk mitigation across systems.
Quality AssuranceEnsure product reliability with automated and manual testing that protects performance, security, and user trust.
Cloud & DevOpsSpeed up delivery with CI/CD automation and scalable cloud infrastructure built for uptime and cost efficiency.
UI/UX DesignDesign human-centered experiences that improve usability and adoption across digital products.