Data Engineering & Platforms
Forticer designs and builds the data foundation that AI and analytics depend on: lakehouses, warehouses and streaming pipelines, cloud native on AWS, Azure or GCP. Work happens inside the environment you already run, and every build is handed back to a team that can operate it without us.
Lakehouse and warehouse architecture, modelled for the questions the business actually asks.
Batch and streaming pipelines with governance and observability built in.
Cloud migration on AWS, Azure or GCP, inside the infrastructure you already run.
Data quality and lineage as a first-class concern, not an afterthought.
Lakehouse platforms
Lakehouse and warehouse architecture, modelled for the questions the business actually asks. Migration is included, and the platform is built cloud native on AWS, Azure or GCP inside the environment you already run.
Streaming pipelines
Batch and streaming pipelines with governance and observability built in from day one. Change data capture and Kafka move data at scale without losing lineage or trust.
Data contracts
Data quality and lineage treated as a first-class concern, not an afterthought. Contracts and quality gates run in CI so the numbers stay correct as the platform grows.