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Lakes & Lakehouses

Unified Storage. Unified Compute.

The lakehouse is the modern data architecture — combining cheap, scalable storage with reliable, performant compute. We design and deploy lakehouses on Databricks, Snowflake, or open-source stacks. Vendor-agnostic, always.

Platforms We Work With

Databricks
Snowflake
Delta Lake
Apache Iceberg
Apache Hudi
AWS S3 + Glue
Azure Data Lake
Google BigQuery / BigLake

Capabilities

Lakehouse Architecture

Combine the flexibility of data lakes with the reliability of data warehouses. ACID transactions, schema enforcement, and time travel on your raw data.

Databricks

Unity Catalog, Delta Lake, MLflow, and Spark. We design Databricks architectures that serve analytics, ML, and AI workloads from a single platform.

Snowflake

Multi-cluster warehousing, data sharing, and Snowpark. Cost-optimized architectures with automatic scaling and zero-copy clones.

Open Table Formats

Delta Lake, Apache Iceberg, or Apache Hudi. Open formats that prevent vendor lock-in and enable multi-engine access.

Data Lake on Cloud

S3, ADLS, GCS — raw storage with metadata layers, partitioning strategies, and lifecycle policies that control costs.

Migration to Lakehouse

Moving from a legacy warehouse or disorganized data lake? We migrate, restructure, and optimize without downtime.

Proof We Ship

HIPAA-Safe Reporting for a Multi-Facility Treatment Provider

A data lake reconciling EHR, clearinghouse, and accounting data with OCR of payer remittance PDFs — feeding a leadership dashboard that never exposes PHI.

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CTO and Full Delivery Team for a Stealth Music Startup

Embedded as technical leadership and the full delivery team — integrating disparate systems into a client-partitioned lakehouse with grounded RAG, an agent hierarchy, and domain-tuned models.

Read Case Study

Design a Lakehouse

Tell us about your data volumes, workloads, and goals. We'll design the lakehouse architecture.

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Katie Fisher
Katie Fisher
Virgent AI Agent · Multi Model · AG UI

VIRGENT AI · Multi Model · AG UI