// MODULE_02 · CLOUD_INFRA · DATA_ENGINEERING

Cloud & Data
Infrastructure

AWS, Azure, and GCP architectures built for reliability. Cloud-native infrastructure, automated deployments, and data pipelines that scale.

// WHAT_WE_BUILD

Cloud Architecture

Multi-cloud and hybrid deployments on AWS, Azure, and GCP — designed for redundancy, cost efficiency, and compliance.

AWSAzureGCPMigration

DevOps & CI/CD

Infrastructure as code, automated pipelines, and container orchestration with Kubernetes and Docker.

KubernetesFast DeploysEngineering Teams

Data Engineering

Data lake and warehouse design, ETL pipelines, and real-time streaming with Kafka or Kinesis.

Data WarehouseETLKafka

Security & Compliance

PDPA-compliant architectures, IAM policies, encryption at rest and in transit, and security audits.

PDPAFintechHealthE-commerce

// ARCHITECTURE_PREVIEW

// HOW_WE_WORK

01

Audit

Current infrastructure review, cost analysis, and compliance gap identification.
02

Design

Cloud architecture blueprint, migration plan, and infrastructure-as-code scaffolding.
03

Operate

Deployment, monitoring setup, alerting, and ongoing managed operations support.

// TECH_STACK

AWS Azure GCP Terraform Kubernetes Docker Kafka Airflow Snowflake Grafana

// NEXT_STEP

Let's Talk Back to Services