Core Cloud Data Engineering Services
The cloud data layer, from raw sources to a warehouse your analysts trust, built to run on top of Snowflake and Databricks.
Cloud data warehousing
The single source of truth your BI and analytics run on. We build it on Snowflake or Databricks SQL, model it so the same number means one thing everywhere, and tune it so the query bill does not surprise you.
- Modeled once, trusted everywhere
- Warehouse right-sizing and cost tuning built in
- Governed access from day one
Data lakehouse implementation
One platform for both raw and structured data, so your team stops copying data between a lake and a warehouse. We build it on Databricks, tuned for the workloads you actually run.
- Batch and streaming on one platform
- Delta / open-table format, no lock-in
- Built to scale without a re-architecture
Real-time data platforms
When batch is too slow, we build streaming pipelines that feed your warehouse on Spark, Flink, or Kafka. Tuned to hold up when volume and table count climb, not just on sample data.
- Streaming ingestion that survives real load
- Debugged and observable end to end
- Built so your team can run it after handoff
Multi-cloud data solutions
If your data lives across AWS, Azure, and GCP, we build the platform that spans them without turning into a maze. One place to govern, one place to see cost.
- Vendor-neutral, no forced consolidation
- Unified governance across clouds
- Cost visibility in one place, not three bills
