Comprehensive data infrastructure solutions tailored to your business needs
Build a solid foundation for your data-driven future
Our expert architects design and implement robust, scalable data architectures that align with your business objectives. We create blueprints for modern data platforms that can handle growing data volumes and evolving business requirements.
Enable instant data synchronization across your enterprise
Transform your batch-based data pipelines into real-time streaming architectures. We implement Change Data Capture (CDC) solutions using Debezium and Kafka to ensure your data is always up-to-date.
Transform raw data into actionable business insights
Our analytics engineers build efficient data transformation pipelines using dbt (data build tool) to deliver clean, reliable, and well-documented data for your analytics and reporting needs.
Maximize ROI on your cloud infrastructure investments
We analyze your Azure infrastructure and identify opportunities to reduce costs while maintaining or improving performance. Our experts implement best practices for cost-effective cloud operations.
Seamlessly migrate to modern cloud data platforms
Our cloud migration experts help you transition from legacy on-premise systems to modern cloud-native data platforms with minimal disruption to your operations.
Operationalize your machine learning workflows
We help data science teams operationalize their ML models with robust MLOps practices, including model deployment, monitoring, and continuous training pipelines.
Everything you need to know about working with DataFortis
Timelines vary by scope. A focused engagement such as a CDC pipeline or dbt migration typically runs 6–12 weeks. Full data platform builds (architecture through analytics layer) are usually 3–6 months. We always start with a 2-week discovery phase to define scope and lock timelines before any code is written.
Absolutely — most of our engagements are collaborative. We embed with your existing data engineers, establish patterns and standards, and transfer knowledge throughout the project. Many clients keep us on a retainer after delivery to support their internal team with complex architectural decisions.
We work across Azure, AWS, and GCP, with deep specialisation in Azure Data Factory, Azure Synapse, Databricks, and Snowflake. We're cloud-agnostic in our architecture recommendations — we'll suggest the stack that best fits your existing footprint, team skills, and cost profile.
We offer three models: fixed-scope project delivery, a dedicated team model for larger multi-month programmes, and a monthly retainer for ongoing architecture support. All engagements begin with a complimentary 30-minute strategy call so we can understand your needs before proposing a structure.
Security is embedded from day one. We implement role-based access control, data masking, encryption at rest and in transit, and audit logging as standard. For regulated industries (finance, healthcare) we incorporate GDPR, HIPAA, and SOC 2 requirements into the architecture design.
Yes. Every project includes a 30-day hypercare period with priority support at no extra cost. After that, clients can choose a monthly maintenance retainer that covers monitoring, incident response, minor enhancements, and up to 10 hours of architecture consultation per month.
Let's discuss your specific requirements and find the right approach for your data infrastructure.
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