In the first 30 minutes. Free.
We modernize cloud data platforms on GCP — senior engineers only, end-to-end. Less cost. Faster delivery. Real scale. Ready for AI.
We help companies build scalable cloud data platforms on GCP that reduce operational overhead and make delivery faster.
That means:
We're three senior data engineers who design and build the platform ourselves. No account managers. No junior delivery teams. No subcontracting.
The goal is simple: your team should be able to launch new pipelines, models, and internal data products quickly — without needing 20 people to maintain the stack.
You get a practical architecture, production-ready pipelines, and a platform your internal team can continue building on after handover.
We watched teams of 20 spend two weeks debating a feature three senior engineers could ship in two days. So we built the alternative.
Most engagements are full Data Platform Modernization. When the work bleeds into security or you only need senior strategy, the other two slot in.
For companies modernizing legacy data infrastructure or scaling a cloud platform that's outgrown its foundations. Senior team, end-to-end — assessment to production, no relay races.
IaC-deployed, config-driven stacks that cut setup time from months to weeks. Production-ready out of the box — you bring the data, we bring the foundation.
Full-stack data platform: ingestion layer, transformation, warehousing, BI, and monitoring. Config-driven and cloud-agnostic — GCP or AWS.
Drop-in security and compliance layer for existing data platforms. IAM hardening, encryption at rest and in transit, audit logging, and GDPR/PCI-DSS policy enforcement.
Real-time event streaming pipeline with exactly-once semantics, dead-letter queues, schema registry, and live dashboards. Designed for IoT and high-throughput event sources.
Google Cloud
AWS
dbt
Terraform
Real problems. Real engineers. Real platforms in production.
A real estate developer was running operations across spreadsheets, disconnected dashboards, and manual reports. We centralized everything into a single source of truth on GCP — automated ingestion from operational systems into BigQuery, with transformation layers for construction progress and sales pipeline tracking. For the first time, finance and the directive team had all their information in one place, ready to build their own dashboards and make decisions without chasing data.
A mid-sized company had outgrown its on-premise infrastructure — fragile ETL jobs, no scalability path, and mounting maintenance costs they couldn't even trace. We migrated their entire stack to GCP with full cost visibility baked in from day one: tagged resources, pipeline-level billing breakdowns, and alerting on spend anomalies. Once we left, the team could see exactly where the money was going — and spot money pits before they grew.
A financial services company needed to meet regulatory data protection requirements but had no clear picture of where sensitive data lived or how it moved. We conducted a full security risk analysis — mapped data flows, identified exposure points, implemented encryption at rest and in transit, designed access control policies, and delivered a compliance report aligned with GDPR and sector-specific mandates.
ObexData made the journey of modernization a bliss. Before them our workflow was WhatsApp chats and local Excels, now I can check the status of the company from my phone.
We brought ObexData in to migrate our legacy data platform to the cloud. As an engineer myself, I appreciated how they worked, professional, no fluff, and the output was clean. They handed us a modern, cloud-hosted platform we could actually own and build on.
30 minutes with a senior engineer. Send us your stack diagram or a BigQuery cost screenshot in advance — we come back with 3 concrete observations. No deck. No pitch. No long contract pressure.
