Modern Data and AI Measurable Impact
Cloudscrew helps organizations modernize their data platforms on AWS from migration and modernization to AI/ML enablement and governance.
Cloud Data Modernization
Migrate from legacy platforms (GCP, BigQuery, on-prem, Hadoop) to AWS modern architectures
AI & ML Platforms
Build production ML pipelines, feature stores, model training, inference services, and MLOps using SageMaker, MLflow, and modern AI tooling.
Data & Analytics Platforms
Design modern data lakes and lakehouse architectures using AWS, Iceberg, Redshift, Snowflake, and dbt for scalable analytics.
Platform Engineering & DevOps
Build cloud-native platforms with CI/CD, Kubernetes, serverless architecture, and infrastructure as code.
Our Services

Cloud Architecture & Migration
Design and migrate enterprise workloads to AWS with scalable, secure, and cost-optimized architectures.

Data Platforms & Analytics
Build modern data lakes and analytics platforms using Iceberg, Redshift, Snowflake, and dbt for real-time insights.

AI & Machine Learning Engineering
Build modern data lakes and analytics platforms using Iceberg, Redshift, Snowflake, and dbt for real-time insights.
We help organizations build modern data and cloud platforms
We partner with startups and enterprises to modernize data platforms, build scalable cloud architectures, and deliver AI-powered applications on AWS.
Our expertise includes cloud migration, data lakehouse architectures, machine learning platforms, and DevOps automation to help teams innovate faster and operate at scale.


Our Capabilities are build scalable lakehouse platforms, MLOps pipelines, serverless platforms with automated CI/CD and Implement metadata management, data quality, and data catalog systems
Why Choose Us
AWS Expertise
Deep experience designing scalable cloud and data architectures on AWS.
Modern Data Platforms
Expertise in Iceberg, Redshift, Snowflake, dbt, and modern lakehouse architecture.
End to End Delivery
From discovery and architecture to implementation and optimization.