Services

What we deliver

Six practice areas. One objective: turning your data into a competitive moat. Every engagement is scoped, priced, and delivered with fixed-outcome accountability.

Data Engineering

Build once. Run forever.

We architect and deliver production-grade data pipelines, lakehouses, and integration platforms that your business can depend on. Our engineers have shipped over 340 pipelines across Microsoft Fabric, Azure Data Factory, and Databricks — and every one is built to 99.9% uptime standards from day one.

Microsoft FabricAzure Data FactoryDatabricksApache KafkaApache FlinkdbtDelta LakeAzure SynapseGreat Expectations

Microsoft Fabric & OneLake

End-to-end Fabric deployments — Lakehouse, Warehouse, Real-Time Intelligence, and governed semantic models connecting all your organizational data in one place.

Azure Data Factory & Pipelines

Event-driven, parameterized ADF pipelines replacing legacy batch jobs. Self-healing error logic, Azure Monitor integration, and SLA dashboards included.

Databricks & Delta Lake

Medallion architecture (Bronze / Silver / Gold), Unity Catalog, Delta Live Tables, and CI/CD-deployed notebooks for regulated data environments.

Streaming & Real-Time

Apache Kafka, Flink, and Azure Event Hubs pipelines processing millions of events per second with exactly-once semantics and sub-second latency.

Data Lake Architecture

Multi-zone Azure Data Lake Gen2 designs with Microsoft Purview governance, automated sensitivity classification, and policy enforcement.

dbt & Data Quality

Data transformation, testing, and documentation with dbt Core / Cloud. Great Expectations validation frameworks that enforce quality at every layer.

AI & Machine Learning

AI that ships. AI that earns.

We don't build demos — we build production AI systems that generate measurable revenue and operational outcomes. Our AI practice spans agentic orchestration, large-scale ML platforms, and real-time inference systems embedded directly in your workflows.

Azure OpenAILangChainAzure MLDatabricks MLflowscikit-learnXGBoostPyTorchAzure AI SearchAzure AI Services

Agentic AI Systems

Multi-agent orchestration with Azure OpenAI and LangChain. Intent classification, tool use, memory management, and human-escalation safety layers for enterprise-grade reliability.

Predictive Analytics & ML

Time-series forecasting, classification, and regression models deployed on Azure ML. Full MLOps pipelines with drift detection, auto-retraining, and versioned model registry.

Recommendation Engines

Hybrid recommender systems (collaborative filtering + content-based + contextual bandits) with <50 ms inference latency, integrated directly into ERP and CRM systems.

Azure OpenAI & RAG

Retrieval-Augmented Generation (RAG) systems with Azure AI Search, fine-tuned embedding models, and semantic chunking strategies for enterprise knowledge bases.

Computer Vision & NLP

Document intelligence, image classification, and NLP pipelines using Azure AI Services, custom fine-tuned models, and on-premise deployment options for sensitive data.

MLOps & Model Governance

End-to-end MLOps with Azure ML, Databricks MLflow, CI/CD-integrated model deployment, A/B testing frameworks, and audit trails satisfying model risk management requirements.

Cloud Architecture

Infrastructure that scales with you.

We design cloud-native data platforms on Azure, AWS, and GCP that are secure, cost-optimized, and operationally maintainable. All infrastructure is delivered as code — no manual configuration, no click-ops, no drift.

AzureAWSGCPTerraformAzure BicepAWS CDKAzure DevOpsGitHub ActionsDockerKubernetes

Azure Data Platform Design

Landing zone architecture, hub-and-spoke network topology, Azure Policy guardrails, and cost management frameworks for large-scale Azure data estates.

AWS Data Platforms

S3 data lake with Lake Formation governance, Kinesis streaming, Redshift Serverless analytics, Glue cataloging, and Step Functions orchestration — all managed with Terraform.

GCP BigQuery & Analytics

BigQuery data warehouse design, Dataflow pipelines, Cloud Composer (Airflow) orchestration, and Looker deployments for global analytics at petabyte scale.

Multi-Cloud Integration

Cross-cloud federated query architectures, unified identity and access patterns, and cost transparency frameworks spanning Azure, AWS, and GCP simultaneously.

Infrastructure as Code

Terraform modules, Bicep templates, and CDK constructs delivering repeatable, auditable cloud environments with zero configuration drift.

Cloud Migration & Cutover

Zero-downtime migration playbooks for moving on-premise workloads to cloud. Parallel run strategies, regression test suites, and rollback plans for every migration.

Analytics & Business Intelligence

Data everyone can use.

We turn your data platform investment into business value that every user in the organization can access. From C-suite executive dashboards to self-service analytics for 10,000 business users — governed, trusted, and fast.

Power BI PremiumAzure Analysis ServicesLookerTableauAzure SynapsedbtDAXSQL

Power BI Enterprise

Centralized Power BI Premium workspaces, enterprise semantic models, row-level security mapped to Active Directory, and citizen developer enablement programs.

Semantic Modeling

Star-schema data models, DAX optimization for sub-second query performance, incremental refresh policies, and aggregation tables for high-concurrency environments.

Looker & Tableau

LookML data models for Looker deployments and Tableau Server/Cloud implementations with row-level security, certified data source governance, and embed use cases.

Azure Synapse Analytics

Dedicated SQL pools, serverless query, and Synapse Link for Cosmos DB — giving analysts interactive query performance over terabytes of data.

Executive Dashboards

Board-level KPI dashboards designed with finance and operations stakeholders, combining operational metrics, financial performance, and forward-looking indicators.

Embedded Analytics

Power BI Embedded and Looker Block integrations for customer-facing analytics within SaaS products, including multi-tenant data isolation.

Data Modernization

Legacy to cloud. Clean and fast.

We've successfully migrated hundreds of legacy systems — SSIS packages, SQL Server databases, on-premise data warehouses — to modern cloud platforms. Every migration includes a zero-downtime cutover plan and regression test coverage.

Azure Data FactorySSISAzure-SSIS IRAzure SQL MISSMAAzure Database Migration ServiceDatabricksMicrosoft Fabric

SSIS to ADF Migration

Automated conversion of SSIS packages to Azure Data Factory pipelines using our in-house migration framework, handling 80%+ of packages automatically.

Data Warehouse Modernization

Legacy on-premise DW migration to Azure Synapse, Databricks, or Snowflake — including schema redesign, query optimization, and BI report migration.

SQL Server Migration

SQL Server 2005-2016 to Azure SQL Managed Instance or Azure SQL Database, using SSMA and Azure Database Migration Service with automated validation.

Oracle to Azure Migration

Oracle-to-Azure SQL migrations including PL/SQL conversion, stored procedure refactoring, and performance benchmarking against Oracle baselines.

Hadoop to Lakehouse

Migration of legacy Hadoop/Hive workloads to Databricks Delta Lake or Microsoft Fabric, with Z-order optimization and workload rightsizing.

Infrastructure Decommission

Full decommission planning, data archival policies, and infrastructure teardown playbooks that eliminate stranded assets and licensing costs.

Data Strategy & Governance

A clear path. A governed platform.

Before you build, you need a plan. Our strategy engagements produce concrete, technology-specific roadmaps — not PowerPoint visions. We also implement the governance frameworks that keep your platform trustworthy as it scales.

Microsoft PurviewGreat ExpectationsdbtCollibraAzure PolicyPower BITerraform

Data Strategy Roadmap

Current-state assessment, target architecture definition, prioritized initiative roadmap, and business case for every major investment — delivered in 4–6 weeks.

Microsoft Purview

Full Purview deployments across 100+ data sources: automated data catalog, sensitivity classification, business glossary, and end-to-end data lineage.

Data Mesh Architecture

Domain-oriented data ownership design, federated governance models, and self-serve infrastructure platforms for large, distributed organizations.

GDPR & CCPA Compliance

Data inventory and classification, subject access request automation, consent management integration, and regulatory audit trail implementation.

Data Quality Framework

Automated data quality monitoring with Great Expectations, dbt tests, and real-time anomaly alerting — giving you a live data quality score by domain.

Operating Model Design

Data team structure, roles and responsibilities, center of excellence design, and talent development programs aligned to your organizational maturity.

Not sure which service fits your needs?

Most engagements start with a free 30-minute scoping call. We'll identify where the highest-ROI opportunities are in your data landscape.

Talk to an Engineer