Data Engineering

Data is only valuable if you can access it, trust it, and act on it. We build scalable, reliable data pipelines that turn raw data into actionable insights.

The Challenge

Many organizations struggle with data fragmentation—sources scattered across systems, inconsistent quality, and no single source of truth. Moving to the cloud introduces new opportunities but also complexity: choosing between data warehouses and data lakes, managing ETL at scale, ensuring data quality, and controlling costs. Without a thoughtful data engineering strategy, you end up with expensive infrastructure that delivers questionable insights.

Our Approach

We design and build cloud-native data platforms on AWS and Google Cloud that are cost-effective, scalable, and maintainable. Whether you need a modern data warehouse (Snowflake, BigQuery, Redshift), a data lake for exploratory analytics, or event-driven real-time pipelines, we architect solutions aligned with your data strategy. Our expertise spans the full lifecycle: data ingestion, transformation, quality assurance, and orchestration. We also help you operationalize data—implementing monitoring, governance, and cost management—so your data platform remains reliable and efficient as it grows.

Key Deliverables

• Data Strategy & Architecture: Assessment and design of modern data platforms tailored to your needs
• ETL/ELT Pipelines: Scalable, cloud-native data pipelines using services like Dataflow, Glue, or Airflow
• Data Warehouse & Lake Design: Optimized schemas, partitioning, and storage strategies for analytics
• Real-Time Data Streams: Event-driven architectures using Kafka, Pub/Sub, and Kinesis
• Data Quality & Governance: Frameworks to ensure data accuracy, lineage tracking, and compliance
• Cost Optimization: Right-sizing infrastructure, caching strategies, and cost monitoring

Why Choose Sunsprinkle

Data engineering requires balancing technical excellence with practical constraints. We've built pipelines that handle billions of events for government, enterprise, and startup clients. We understand the gap between "it works in dev" and "it scales in production." We focus on building systems that are not just powerful but also maintainable, cost-effective, and aligned with your organization's operational capabilities.