Real-Time Analytics & Event Streaming

Migrate legacy data warehouses to modern cloud-native platforms. Snowflake, BigQuery, Redshift, and Databricks specialization. Full ETL/ELT rebuild.

• ✦Legacy warehouse assessment
• ✦Schema conversion and migration

Build scalable data lakes with Delta Lake, Apache Iceberg, or Apache Hudi. Ingest, catalog, govern, and serve data for analytics and ML at any scale.

• ✦Multi-format data ingestion
• ✦Schema evolution and enforcement

Discover, catalog, and govern all your data assets across databases, data lakes, SaaS tools, and spreadsheets. Automated data discovery, lineage tracking, quality scoring, and access policies.

• ✦Automated data discovery & cataloging
• ✦Data lineage tracking (field-level)

Implement data mesh architecture: domain-owned data products, federated governance, self-service infrastructure, and automated discoverability. Decentralize data ownership.

• ✦Domain data product definition and ownership
• ✦Federated governance with global policies

End-to-end ML model lifecycle management: experiment tracking, model registry, CI/CD for ML, A/B testing, monitoring, and automated retraining.

• ✦Experiment tracking and comparison
• ✦Model registry with versioning and staging

Sub-second analytics on streaming data with pre-aggregation, materialized views, and real-time dashboards. ClickHouse, Druid, or Pinot managed service.

• ✦Sub-second query on billions of rows
• ✦Streaming ingestion (Kafka, Kinesis, Pub/Sub)

Enforce data contracts between producers and consumers. Schema registry, breaking change detection, compatibility modes, and automated documentation.

• ✦Centralized schema registry (Avro, Protobuf, JSON)
• ✦Breaking change detection and prevention

Push data from warehouse to operational systems (CRM, ad platforms, support tools). Activate warehouse data in tools your teams already use.

• ✦Push data from Snowflake/BigQuery to SaaS tools
• ✦Sync to Salesforce, HubSpot, Braze, Zendesk