Architecture shaped around the way your teams work.
Modern implementation patterns across Azure, AWS, Snowflake, Databricks, streaming, governance, and analytics.
Azure Data Platform
Comprehensive Azure-based data solutions leveraging Event Hubs, Synapse, and Data Lake for enterprise-grade analytics.
AWS Data Lake House
Build a cost-effective data lake on AWS with S3, Glue, and Redshift for scalable analytics and machine learning.
Snowflake Modern Stack
Leverage Snowflake's fully managed platform for instant scalability, zero maintenance, and global accessibility.
Databricks Lakehouse
Unified analytics platform combining data lakes and data warehouses for BI and machine learning workloads.
Real-Time Analytics
Build real-time streaming pipelines with Kafka and Debezium for instant insights and event-driven applications.
GCP Data Platform
Serverless data warehousing on Google Cloud with BigQuery, Dataflow, and native BI integration.
Hybrid Cloud Integration
Seamlessly integrate on-premise data sources with cloud platforms for a unified data view.
Data Governance
Implement robust data governance frameworks with cataloging, lineage tracking, and quality monitoring.
Reference Architectures
Proven data platform blueprints DataFortis implements for enterprise clients
Modern Data Warehouse — ELT Pipeline
Batch and near-real-time analytics using cloud-native ELT. Replaces fragile custom ETL with dbt-modelled, tested, documented data.
Real-Time CDC Streaming Pipeline
Event-driven Change Data Capture with sub-500ms latency. No polling, no batch windows — data moves as it changes in the source.
Cloud Lakehouse — Medallion Architecture
Delta Lake Bronze → Silver → Gold pattern on Azure or AWS. Combines the flexibility of a data lake with the reliability of a data warehouse.
Find the Right Solution for Your Business
We will help you choose an architecture that fits your requirements, constraints, and operating model.
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