Data Engineering
Build reliable, cost-effective data pipelines on AWS, GCP, and Azure. CorrDyn designs and implements data infrastructure that scales.
CorrDyn designs and builds data infrastructure that organizations can rely on. Whether you are migrating from legacy ETL to a modern data stack, building a data warehouse from scratch, or struggling with pipeline reliability, our engineers bring the expertise to get it done right.
How We Work
Every engagement starts with a thorough assessment of your current data landscape: sources, pipelines, storage, and consumption patterns. We identify quick wins that deliver immediate value while designing the long-term architecture that will support your growth. Our engineers embed directly with your team, working in your codebase, your cloud environment, and your communication channels.
What We Build
Our data engineering practice covers the full spectrum of modern data infrastructure. We build batch and streaming pipelines, implement change data capture (CDC) for real-time data movement, design data warehouses and lakehouses, and implement data quality monitoring. We use tools like dbt for transformation, Airflow for orchestration, and Fivetran for ingestion — but we are not dogmatic about tools. We choose what fits your organization, not what is trendy.
Who We Work With
Our data engineering clients span biotech, healthcare, education, ecommerce, finance, and professional sports. What they share is a recognition that reliable data infrastructure is a competitive advantage, not a cost center. If your team is spending more time fixing pipelines than building products, we can help.
Technologies We Use
Frequently Asked Questions
- How much does data engineering consulting cost?
- Engagements typically range from $15K–$50K/month depending on scope and team size. We structure projects with clear milestones so you see value early and can adjust investment as the pipeline matures.
- How long does a typical data engineering engagement take?
- Most initial engagements run 3–6 months. We can stabilize critical pipelines within the first month, then systematically rebuild and optimize over the following months. Ongoing support retainers are available for organizations that need continued partnership.
- Do you work with our existing cloud provider?
- Yes. We are cloud-agnostic and have deep expertise across AWS, GCP, and Azure. We also work with multi-cloud and hybrid environments. Our approach is to optimize within your existing infrastructure before recommending migration.
- What makes CorrDyn different from other data engineering consultancies?
- We are technologists, not salespeople. Our team has built and maintained production data systems across biotech, healthcare, finance, and sports. We embed with your team, transfer knowledge throughout the engagement, and build systems your team can own after we leave.