Audit Reliability
Assess incidents, freshness gaps, ownership, and bottlenecks.
Data Engineering
We help teams move from fragile, unreliable pipelines to data delivery they can actually depend on.
Why it matters
Inconsistent delivery slows strategy and creates shadow workflows. We focus on reliability, observability, and ownership so engineering capacity compounds.
Delivery Reliability
Ingestion and orchestration designed with proactive monitoring and recovery patterns that match your business-critical workloads.
Scalable Foundations
Core components structured to work across domains, geographies, and teams without sacrificing governance or delivery speed.
Delivery Ownership
Clear ownership, release standards, and runbooks so your team ships faster, incidents drop, and trust in production data grows.
Explore our solutions
The engineering challenges where reliability and execution quality have the biggest impact on speed and cost.
Reliable Ingestion
Connect SaaS, application, and event data into governed pipelines with clear data contracts, traceability, and operational ownership.
Stable Orchestration
Scheduler and event-driven orchestration patterns that protect data freshness, dependency integrity, and controlled recovery.
Cost Efficiency
Better workload design and execution patterns that reduce unnecessary spend without compromising reliability or performance.
Trust Controls
Quality checks, lineage visibility, and ownership standards so teams can rely on production data without building workarounds.
Solutions in practice
Media & Entertainment
Connecting ad spend to ticket sales for a nightlife brand
A nightlife and events business struggled to connect scattered ad spend with ticket sales using fragile, manual spreadsheets. Astrafy built a governed data architecture that automatically maps campaign data to revenue, pushing a single source of truth directly back into the marketing team’s existing spreadsheets.
Our process
How we deliver
We run data engineering as a trust-building program: stabilize, standardize, scale.
Build Backbone
Implement ingestion, orchestration, testing, and observability.
Align Operations
Set ownership, runbooks, and release practices.
Scale Delivery
Extend proven patterns across domains reliably.
Our preferred stack
We choose tools by reliability, governance, operating model, and cost.
Google Cloud
Core platform for ingestion, processing, and secure operations.
Dataplex / Knowledge Catalog
Governance and cataloging for discoverability and trusted access.
dbt Core / dbt Cloud
SQL framework for tested models and maintainable pipelines.
Big Query
Cloud warehouse for scalable processing and governed access.
Airflow / Composer
Workflow orchestration for dependencies, scheduling, and recovery.
Fivetran
Ingestion tooling selected by reliability needs, compliance, and team capacity.
Airbyte
Ingestion tooling selected by reliability needs, compliance, and team capacity.
Terraform
Infrastructure-as-code for repeatable standards across environments.
Data Leads
Improve reliability and ownership without scaling incident load.
Tech Leads
Run predictable data operations while keeping execution speed.
Product Teams
Get dependable data for operational and commercial decisions.
For organizations where growth depends on reliable data operations, not manual fixes.
Who this is for
Built for teams like yours
Our resources
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