Data Engineering & Infrastructure
Analytics and AI can only move as fast as the data feeding them.
At Cybryne, we design, build, and operate production-grade data platforms that transform raw data into clean, trusted, and timely insights — so analysts, engineers, and models get exactly what they need, when they need it.
Why It Matters
Our Engineering Philosophy
We engineer data platforms with repeatability, observability and cost-efficiency baked in. Our practice combines software engineering rigor, DevOps principles and data domain knowledge to deliver production-grade systems.
Idempotent Pipelines
Reruns always produce the same reliable results.
Infrastructure as Code
Fully reproducible, auditable environments (Terraform, CloudFormation).
Observability First
Metrics, logs, and traces for real-time health monitoring.
Automated Testing & CI/CD
Unit, integration, and regression tests for both data code and infrastructure.
Cost-Aware Design
Right-sizing, storage tiering, and query optimization baked in from day one.
What We Deliver
Design & Build
- We create robust, testable ETL/ELT pipelines for both batch and streaming — optimized for performance, scalability, and maintainability.
Modernize & Migrate
- We move your workloads to modern cloud-native platforms like BigQuery, Snowflake, or Databricks — or evolve data lakes into lakehouses.
Automate & Orchestrate
- We implement Airflow, Cloud Composer, or workflow engines for reliable scheduling, SLA handling, and automated alerting.
Deploy & Operate
- From IaC provisioning to 24/7 managed services, we ensure your data infrastructure runs smoothly, securely, and cost-effectively.
Build Reliable Pipelines & Cost-Efficient Platforms
Your business decisions can’t wait for broken pipelines or manual fixes.
Let’s engineer an infrastructure that delivers fast, clean, and reliable data — every single time.