Our Services

Everything you need to operationalize data.

From the first ingestion pipeline to the last business decision — six service areas that work standalone or together as a full data transformation program.

Data Engineering

Reliable, scalable, well-instrumented pipelines that move data from source to insight without surprises.

  • Batch & streaming pipelines in Python & SQL (Airflow, Dagster, Spark, Kafka, Flink)
  • SQL Server, PostgreSQL, MySQL & Oracle source integrations
  • Modern lakehouse architecture (Delta, Iceberg, Hudi) & cloud data warehouses
  • ELT/ETL modernization & legacy SSIS / Informatica migration
  • Data quality, observability, & SLAs
  • Real-time CDC pipelines from operational databases

Analytics & Business Intelligence

Dashboards and semantic layers your business teams will actually trust and use.

  • Executive dashboards (Power BI, Tableau, Looker, Superset)
  • Power Platform delivery: Power BI + Power Automate + Excel workflow integration
  • Statistical analysis & reporting in Python and R
  • Semantic layer design (dbt, LookML, Cube)
  • Self-serve analytics enablement & KPI / metric governance
  • Embedded analytics for SaaS products

AI & Machine Learning

From a single predictive model to a full MLOps platform — production-grade, monitored, and measured.

  • Predictive modeling (churn, fraud, demand, risk)
  • Recommendation & personalization systems
  • Generative AI & RAG applications
  • MLOps platforms (MLflow, SageMaker, Vertex AI, Databricks)
  • Model monitoring, drift detection, retraining pipelines

Cloud & Data Platform

Cloud-native architecture and migrations that set up your data team for a decade of growth.

  • Greenfield platform design on AWS, Azure, GCP
  • Data warehouse design & modelling (Kimball, Inmon, Data Vault 2.0)
  • Snowflake, Databricks, Synapse & Redshift implementations
  • Lakehouse vs. warehouse architecture decisions
  • Infrastructure as code (Terraform, Pulumi)
  • FinOps & cost optimization

Data Governance & Quality

Trusted data starts with cataloged data. We build the systems people rely on.

  • Data catalog & lineage (Atlan, Collibra, OpenMetadata, Unity)
  • Master data management (MDM)
  • Access controls & row-level security
  • Privacy, HIPAA, GDPR & SOC 2 compliance frameworks
  • Data quality monitoring (Great Expectations, Soda, Monte Carlo)

Data Strategy & Advisory

For organizations early in their data journey — a roadmap grounded in what's possible, not what's hyped.

  • Data maturity assessments
  • Target-state architecture roadmaps
  • Build vs. buy evaluations
  • Team structure & hiring guidance
  • AI/ML use-case prioritization workshops
How we work

Engagement models that match your stage.

Whether you need a short discovery sprint or a multi-quarter delivery team, we have a flexible model that fits.

01 · 2–6 weeks

Discovery Sprint

A focused assessment that ends with a working prototype and a recommendation you can act on.

02 · 3–9 months

Project Delivery

Fixed-scope engagements where we ship a defined platform, pipeline, or AI capability against a clear outcome.

03 · Ongoing

Embedded Pods & Managed Ops

A senior pod that runs alongside your team, or fully managed operation of the platform we built together.

Tech we work with

We meet you where your stack already is.

From SQL Server and Excel to Snowflake and large language models — we work natively across the Microsoft, open-source, and cloud-data ecosystems.

AWS · Azure · GCP

SQL Server · PostgreSQL · MySQL

Snowflake · Redshift · BigQuery

Databricks · Synapse

Python · R · Scala

dbt · Airflow · Dagster

Spark · Kafka · Flink

Data Warehouse · Modelling

Power BI · Power Automate · Excel

Tableau · Looker · Superset

PyTorch · MLflow · SageMaker

OpenAI · Anthropic · Bedrock

Not sure where to start?

Book a free 30-minute consultation. We'll listen, ask sharp questions, and tell you honestly whether we can help.

Book a Consultation