Industry-specific data platform implementations powered by modern architecture
Comprehensive Azure-based data solutions leveraging Event Hubs, Synapse, and Data Lake for enterprise-grade analytics.
Build a cost-effective data lake on AWS with S3, Glue, and Redshift for scalable analytics and machine learning.
Leverage Snowflake's fully managed platform for instant scalability, zero maintenance, and global accessibility.
Unified analytics platform combining data lakes and data warehouses for BI and machine learning workloads.
Build real-time streaming pipelines with Kafka and Debezium for instant insights and event-driven applications.
Serverless data warehousing on Google Cloud with BigQuery, Dataflow, and native BI integration.
Seamlessly integrate on-premise data sources with cloud platforms for a unified data view.
Implement robust data governance frameworks with cataloging, lineage tracking, and quality monitoring.
Proven data platform blueprints DataFortis implements for enterprise clients
Batch and near-real-time analytics using cloud-native ELT. Replaces fragile custom ETL with dbt-modelled, tested, documented data.
Event-driven Change Data Capture with sub-500ms latency. No polling, no batch windows — data moves as it changes in the source.
Delta Lake Bronze → Silver → Gold pattern on Azure or AWS. Combines the flexibility of a data lake with the reliability of a data warehouse.
Our experts will help you choose the best architecture for your specific requirements.
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