It depends on scope, but initial infrastructure (data warehouse + core pipelines) typically takes 8-12 weeks. We prioritize getting foundational systems live quickly, then iterate with additional sources and transformations.

Absolutely. We specialize in integrating with legacy systems, cloud platforms, and SaaS tools. Migration doesn't have to be all-or-nothing.

Data lakes store raw data in its native format (flexible but requires processing). Data warehouses store structured, transformed data (optimized for queries but less flexible). Lakehouses combine both approaches.

We implement automated validation at every pipeline stage: source data checks, transformation tests, and output validation. Quality rules are versioned and monitored continuously.

We've delivered data engineering solutions for fintech, healthcare, e-commerce, logistics, SaaS companies, and professional services. The principles of good data architecture apply across industries.