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Platform Enablement

The infrastructure your data team needs to move fast

Cloud-native data platform engineering. We design, build, and operationalize production-grade infrastructure across GCP, Azure, and AWS.

What we build

Cloud infrastructure - architecture, provisioning, and environment management across GCP, Azure, and AWS
Data lakes and lakehouses (Delta Lake, Iceberg) with compute orchestration (Airflow, Dagster, Prefect)
CI/CD pipelines and infrastructure as code (Terraform, Pulumi) - no manual clicking in cloud consoles
Monitoring, alerting, and observability so your team knows what broke before users do
Security baseline - IAM, networking, encryption, and access controls baked in from day one
Operational runbooks and documentation your team actually uses

Tools and technologies

Terraform
Pulumi
Docker
Kubernetes
Airflow
Dagster
Prefect
dbt
Spark
Flink
Delta Lake
Apache Iceberg
Prometheus
Grafana
Datadog
GitHub Actions
GitLab CI
ArgoCD

Cloud platforms we work with

Google Cloud

BigQuery, Cloud Composer, Dataflow, GKE, Cloud Storage, Pub/Sub

Microsoft Azure

Synapse Analytics, Data Factory, Databricks, AKS, ADLS Gen2, Event Hubs

Amazon Web Services

Redshift, MWAA, Glue, EKS, S3, Kinesis

What you get

A production-grade data platform that your team can operate independently. Fully documented, tested, and built to your organization's standards.

Production-ready infrastructure

Not a proof of concept - actual production infrastructure with monitoring, alerting, and runbooks.

Infrastructure as code

Every resource defined in version-controlled Terraform/Pulumi. No manual clicking in cloud consoles.

Operational documentation

Runbooks, architecture diagrams, and operational procedures your team uses from day one.

Knowledge transfer

Paired delivery, training sessions, and documentation ensure your team owns the platform completely.

Ready to build your data platform?

Book a discovery call to discuss your infrastructure needs and current challenges.