Production-first
Architecture decisions are made for reliability, operability and handover — not just the diagram.
Data, Cloud & AI Engineering
Data. Cloud. AI. Built for production.
Engineering reliable platforms today while preparing them for intelligent workflows tomorrow.
What we do?
Engineering platforms that hold up in production
We design, build and operate the data and cloud foundations businesses depend on — from reliable pipelines and platforms to the APIs, governance and AI-enablement layers that prepare them for what comes next.
- Batch & streaming data pipelines (ETL / ELT)
- Cloud data warehouses & lakehouse platforms
- Orchestration, observability & CI/CD for data
- Data quality, governance & compliance reporting
Cloud-native
Platforms designed for the cloud they run on: elastic where it matters, cost-efficient by default.
Outcome-driven
We measure the work by what changes for the business, not by what ships.
Built for ownership
Your cloud accounts, your repositories, your runbooks. Nothing depends on us to keep running.
Data Engineering
From raw data to decision-ready
We build the plumbing behind analytics: resilient pipelines, well-modeled platforms, and automated delivery — engineered so your data is correct, fresh, and cost-efficient by default.
Pipelines & Orchestration
Batch and event-driven ELT with automated scheduling, retries, and lineage. Workflows are testable, observable, and cheap to run — with SLAs your teams can plan around.
- Airflow
- Dagster
- dbt
- Spark
- AWS Glue
Cloud Data Platforms
Lakehouse and warehouse architectures designed for scale: medallion layers, workload isolation, and storage that stays affordable as volume grows.
- Snowflake
- Databricks
- Redshift
- BigQuery
Streaming & Real-Time
CDC replication, event streaming, and micro-batch patterns that move data in seconds, not overnights — powering live dashboards and operational alerts.
- Kafka
- Kinesis
- Flink
- Debezium
Quality & Governance
Data contracts, automated tests, freshness checks, catalogs, and end-to-end lineage — so trust in your numbers scales with your data.
- dbt tests
- Great Expectations
- OpenLineage
- Terraform
Spotlight: AWS-native delivery
AWS Glue
Serverless, fully managed data integration on AWS. We use Glue to catalog, clean, prepare, and move data at any scale — with no clusters to provision or maintain.
- Automated crawlers feeding a searchable Glue Data Catalog
- Visual ETL in Glue Studio or code-first PySpark jobs
- Streaming ETL for near-real-time transformation
- Job bookmarks & scheduling for reliable incremental loads
- Glue Data Catalog
- Glue Studio
- PySpark
- Athena
Amazon SageMaker
Build, train, and deploy machine learning models on fully managed infrastructure — taking projects from first notebook to production-grade MLOps.
- SageMaker Studio: one IDE for the full ML lifecycle
- Distributed training & automatic hyperparameter tuning
- One-click deployment to secure, low-latency endpoints
- Pipelines, Feature Store & Model Monitor for MLOps
- SageMaker Studio
- SageMaker Pipelines
- Feature Store
- Model Monitor
Platforms & tools we work with
- AWS
- Azure
- GCP
- Snowflake
- Databricks
- Apache Spark
- Kafka
- dbt
- Airflow
- Terraform
- Python
- SQL
- AWS Glue
- SageMaker
How we work?
Collaborative, efficient, tailored to you
Our approach is designed to be collaborative, efficient, and tailored to your unique needs.
Discovery
Map what you already have, where it breaks, and which use cases are worth doing first.
Co-develop
Build alongside your team in short cycles, so the knowledge transfers while the work happens.
Deploy
Ship into your environment with the tests, monitoring and runbooks that keep it running.
Scale
Hand over cleanly, then extend as the data volumes and the use cases grow.
Services
What we build
From the data foundations underneath to the content and AI layers on top — each designed to run in production and hand over cleanly.
Enterprise Data Architecture
Scalable architectures across the full lifecycle — ingestion, storage, modeling, and consumption — sized for your workloads today and re-platformable for tomorrow.
Analytics & BI Implementations
Full-scale ETL deployments, dimensional modeling, and semantic layers — plus the dashboards and self-service tooling that let business teams answer their own questions.
Cloud Migration & Strategy
The industry-standard "6 R's" framework, landing zones, infrastructure-as-code with Terraform, and FinOps guardrails — migrated without jeopardizing production SLAs.
Data Visualization & Enterprise Reporting
Dashboards and reports built around the decisions your teams actually make, not the metrics that happen to be easiest to chart.
Data & Analytics Strategy
Maturity assessments, platform selection, operating models, and a pragmatic roadmap that sequences quick wins behind long-term foundations.
DataOps
Software discipline for data: CI/CD for pipelines, automated testing, environment-as-code, and observability that catch breakage before your stakeholders do.
Now offering
Headless CMS & Digital Platforms
Content platforms your marketing team runs without raising a ticket. We model your content in Contentful, build the front end in Next.js, and hand over a site that publishes in seconds, scores well on Core Web Vitals, and has no plugin layer to patch.
How headless works, in plain English →
Coming soon
AI Enablement
The defining initiative of the next few years is not AI adoption. It is AI enablement. We prepare the systems underneath: governed APIs an agent can safely call, retrieval over your own knowledge, semantic consistency and provenance, and authorization that still holds when the caller is a model rather than a person.
What we're building, and why →
Services & Solutions
Beyond Data Engineering
Modernizing the applications, cloud platforms and customer systems surrounding your data.
- Cost Efficiency
- Scalability
- Business Agility
- Data Accessibility
- No-Code / Low-Code + Automation
Cloud Transformation
Enhance agility while reducing infrastructure expenses. We evaluate and design cloud infrastructure tailored to your needs and migrate your data without jeopardizing production SLAs or quality.
Start with an assessment
We'll map what you already have, surface the quick wins, and hand you a 90-day roadmap. No obligation to carry on afterwards.
Book an assessment