Data Engineering
We design and build modern data platforms on Snowflake, Databricks, AWS, Azure, and GCP.
Pipelines, governance, modeling and ML-ready feature stores — all tuned for downstream AI.
Capabilities
Batch and streaming ingestion, orchestration and observability.
Lakehouse and warehouse modeling, dbt transformation layers, semantic layers.
Data quality gates, contracts and lineage so AI systems get trustworthy inputs.
Cost and performance engineering on cloud warehouses.