We architect modern, cloud-native data platforms on AWS, Azure, and GCP, integrating streaming analytics, cloud data warehouses, and AI-ready data infrastructure that scales from gigabytes to petabytes.
Cloud analytics platforms have fundamentally changed what's possible for enterprise data teams, eliminating infrastructure management overhead while delivering near-unlimited compute elasticity. But the technology landscape is complex and evolving rapidly.
We bring deep, hands-on expertise across all major cloud data platforms, including Snowflake, BigQuery, Redshift Serverless, and Databricks, ensuring you choose and optimize the right platform for your workload, budget, and team's skills.
Key differentiator: We manage FinOps from day one. Every cloud analytics engagement includes cost attribution dashboards, resource monitors, and optimization recommendations delivered monthly.
Platform-specific expertise across the full cloud analytics stack, from ingestion to insight.
Multi-cluster Snowflake deployments with auto-suspend, resource monitors, and warehouse sizing optimization. Snowpipe continuous loading, Dynamic Tables for incremental materialization, and Cortex ML for in-platform AI inference. Cross-cloud data sharing and Marketplace integration for monetizing data products externally.
BigQuery BI Engine for sub-second SQL analytics, BQML for in-platform machine learning, and Vertex AI integration for MLOps. Bigtable for operational analytics at millisecond latency. Dataflow (Apache Beam) for streaming ETL. Looker semantic model with LookML and Google Analytics 4 native integration.
Redshift Serverless with auto-scaling, AQUA (Advanced Query Accelerator), and Redshift ML for in-database model training. AWS Glue ETL with job bookmarking for incremental loads. Lake Formation fine-grained access control with column and row-level security. Kinesis Data Analytics (Flink) for streaming. QuickSight Q for natural language analytics.
Databricks Delta Live Tables for declarative pipeline authoring with automatic data quality expectations. Unity Catalog for unified governance across workspaces, clouds, and data types. Databricks SQL for high-performance BI. MLflow integration for end-to-end ML lifecycle management. DBSQL Serverless for cost-efficient ad-hoc analytics queries.
Fivetran for 300+ pre-built connectors with incremental replication and automated schema drift handling. Airbyte for custom connector development and self-hosted flexibility. dbt Cloud for transformation orchestration with environment promotion. Reverse ETL with Census or Hightouch to sync warehouse insights back to Salesforce, HubSpot, and operational tools.
Snowflake credit monitoring with custom resource monitors and cost attribution by team, project, and cost center. BigQuery slot commitment analysis and query optimization (partitioning, clustering, materialized views). AWS Cost Explorer dashboards for EMR, Redshift, and Athena spend. Monthly FinOps reviews with actionable optimization recommendations.
A successful cloud analytics migration is not just a technology lift; it requires aligning data ownership, governance, and cost accountability across the organization. We manage all three.
Our cloud analytics teams are certified across AWS, Azure, and GCP and work alongside your existing platform engineers to ensure knowledge transfer and self-sufficiency by project end.
Benchmark your query workloads on Snowflake, BigQuery, and Redshift using representative samples. Produce a 3-year TCO model comparing warehouse costs, compute flexibility, governance capabilities, and ecosystem fit. Recommend a primary platform with migration risk analysis and a phased onboarding plan.
Provision cloud warehouse infrastructure with infrastructure-as-code (Terraform). Configure IAM roles, network policies, VPC peering, and private endpoints. Establish role-based access control with AD/Okta SSO integration. Set up resource monitors, budget alerts, and usage dashboards from day one, not after costs spiral.
Deploy Fivetran or Airbyte for connector-based ingestion with schema evolution handling. Configure Snowpipe/BigQuery streaming for high-velocity event data. Implement Kafka connectors for real-time streaming from operational systems. Validate data completeness and row counts against source systems with automated reconciliation reports.
Build dbt transformation models using medallion architecture (bronze/silver/gold). Implement incremental models for large historical tables. Deploy dbt Semantic Layer with Cube.dev caching for BI performance. Connect Power BI, Tableau, and Looker to the semantic layer with SSO-synchronized row-level security.
Run query performance profiling to identify clustering key candidates, materialized view opportunities, and warehouse sizing adjustments. Implement Monte Carlo for data observability. Deliver monthly FinOps reports with cost attribution by team, identify idle compute, and recommend commitment tiers (Snowflake Enterprise, BigQuery flat-rate) for predictable spend.
Enterprise cloud analytics transformations delivering measurable ROI across sectors.
Migrated a national insurance carrier from an on-premise Teradata DW to Snowflake on AWS. 3,200+ SQL queries migrated with automated translation tooling. Snowpipe ingests claims events within 60 seconds of occurrence. Dynamic Tables replace 140 overnight batch jobs. Power BI connected to dbt Semantic Layer for 800 analyst users with consistent, governed metrics.
68% cost reduction, 3× faster queriesBuilt a multi-tenant analytics platform on BigQuery for a SaaS company processing 50M+ daily events from 1,200 customer tenants. BQML customer churn prediction model runs nightly and pushes results via Hightouch reverse ETL to Salesforce for Customer Success outreach. Looker embedded dashboards served to customers via React portal.
22% reduction in customer churnImplemented a Databricks Lakehouse for a global manufacturer ingesting IoT sensor data from 40,000+ connected machines. Delta Live Tables process 8M events/hour with automated anomaly detection. Unity Catalog enforces data sharing boundaries between plant-level domains. Databricks SQL dashboards give plant managers real-time OEE visibility.
18% improvement in equipment uptimeMigrated a federal agency from Redshift provisioned clusters to Redshift Serverless with RPU-based auto-scaling. Lake Formation enforces column-level security for PII fields without application changes. QuickSight Q enables natural language analytics for non-technical program managers. AWS GovCloud deployment with FedRAMP High boundary controls documented for ATO.
45% infrastructure cost reductionStart with a Cloud Analytics Assessment: we'll benchmark your workloads, model 3-year TCO across platforms, and deliver a migration roadmap in 2 weeks.