We design and operate cloud-native Lakehouse platforms, real-time streaming pipelines and AI-ready data products on Snowflake, Databricks, BigQuery, Kafka and Spark — so every team in your business runs on trusted, governed and fresh data.
End-to-end data platforms — from ingestion to AI-ready serving — engineered for scale, reliability and developer joy.
Unified analytics on Databricks, Snowflake, BigQuery and Redshift with open table formats — Delta Lake, Apache Iceberg and Hudi.
Sub-second event pipelines with Apache Kafka, Flink, Pulsar, Kinesis and Spark Structured Streaming for live decisioning.
Production-grade transformations with dbt, SQLMesh and Spark — version-controlled, tested and documented as code.
Reliable pipelines with Airflow, Dagster and Prefect, monitored via Monte Carlo, OpenLineage and Datadog.
Unity Catalog, Atlan, Collibra and OpenMetadata for lineage, access control, privacy and AI-ready data products.
Embedding pipelines into Pinecone, Weaviate, pgvector and Feast — powering RAG, semantic search and ML in production.
A reference architecture we've battle-tested with enterprise clients — from raw events to AI-grade datasets.
CDC from OLTP with Debezium & Fivetran, event streams via Kafka, SaaS connectors via Airbyte.
Cloud lakehouse on S3/ADLS/GCS with Delta, Iceberg or Hudi for ACID & time travel.
Medallion (bronze/silver/gold) modeling with dbt and Spark — tested & versioned in Git.
Reverse ETL with Hightouch & Census, semantic layer with Cube, BI on Looker, Tableau & Power BI.
Lineage, observability, masking, PII detection and FinOps alerts on every table and pipeline.
We pick the right tool for the job — open standards first, vendor lock-in last.
Unify product, marketing and revenue data into a single source of truth, activated to every downstream tool.
Sub-second scoring on Kafka + Flink with feature stores feeding ML models in production.
Document ingestion, chunking, embedding and vector indexing for enterprise GenAI applications.
Time-series ingestion at scale into InfluxDB, TimescaleDB and Iceberg with edge-to-cloud orchestration.
Domain-owned data products with contracts, SLAs and discoverability via a federated catalog.
Legacy DWH → Lakehouse migrations with zero-downtime cutovers and automated parity testing.
Whether you're migrating to a Lakehouse, building real-time pipelines, or preparing data for GenAI — our engineers can help.