Data processing
As a Snowflake and dbt partner, Sunscrapers specializes in building complex data integrations, processing pipelines, and warehousing solutions. We help organizations transform raw data into actionable insights using modern data stack technologies and best practices.
Partner with Sunscrapers to design and implement robust data infrastructure. Our team leverages Python, Snowflake, dbt, and AWS to deliver scalable, maintainable data solutions that power your analytics and AI initiatives.
What can be built with data processing technologies
01
Data Warehousing Solutions
Build modern cloud data warehouses using Snowflake and other leading platforms. We design scalable architectures that centralize your data for analytics, reporting, and machine learning workloads.
02
ETL/ELT Pipelines
Create robust data transformation pipelines using dbt, SQLMesh, and Python. We implement modern ELT patterns that keep your data fresh, tested, and documented.
03
Real-time Data Streaming
Implement streaming data architectures using technologies like Kafka, AWS Kinesis, and Apache Spark. Process and analyze data as it arrives for time-sensitive business decisions.
04
Data Lake Architecture
Design and build data lakes on AWS S3, Azure Data Lake, or Google Cloud Storage. Organize structured and unstructured data with proper governance and accessibility.
05
Cloud Data Integration
Connect and synchronize data across AWS, GCP, Azure, and on-premise systems. We build integrations that ensure data flows reliably between all your platforms and applications.
06
Database Migration and Modernization
Migrate from legacy databases to modern cloud solutions like Snowflake, AWS RDS, or managed PostgreSQL. We ensure zero data loss and minimal downtime during transitions.
07
MCP Integration
Implement Model Context Protocol (MCP) integrations to connect your data infrastructure with AI assistants and language models. Enable AI tools to query and interact with your data securely.
08
Data Quality and Governance
Establish data quality frameworks with automated testing, monitoring, and alerting. Implement governance policies that ensure data accuracy, security, and compliance.
09
Analytics Infrastructure
Build the foundation for self-service analytics with tools like Looker, Metabase, or custom dashboards. Enable your team to explore and visualize data without engineering bottlenecks.
10
Multi-source Data Consolidation
Aggregate data from multiple sources including APIs, databases, SaaS applications, and files. Create unified data models that provide a single source of truth for your organization.
Key advantages of working with us
Engagement models
Choose the model of collaboration that fits your needs
Technical consulting
Leverage our expertise to gain strategic insights, optimize your technology stack, and navigate complex technical challenges. Maximize your business potential with our tailored consulting solutions.
Project
Our expert team will work closely with you to conceptualise, design and build a bespoke software solution that will address your business needs. Our proven project-based model offers an efficient and transparent collaborative process.
Dedicated development teams
Extend your in-house team with our elite developers who will share the passion for your project, match your company culture and tech stack. All of that fast, on-demand, across a wide range of roles and technologies.
About us
2010
2010
Founded
50+
50+
Clients
200+
200+
Projects
4.9/5
4.9/5
Client’s rating
Let's talk
Discover how software, data, and AI can accelerate your growth. Let's discuss your goals and find the best solutions to help you achieve them.