Migration excellence
“100% migration” means every critical dataset, job, and consumer path is accounted for—not a slogan. We run discovery, parity SQL, reconciliation totals, and business sign-off packs so your move from on-prem Oracle and legacy ETL to Snowflake, Databricks, or tri-cloud lakes is boring on go-live night—the best kind.
Representative capabilities—scoped to your cloud, warehouse, and compliance posture.
Methodology, ownership, and runbooks your procurement and platform teams can inspect—across GCP, AWS, Azure, Snowflake, Databricks, Airflow, and legacy sources such as Oracle.
We inventory sources, SLAs, and hidden dependencies—nightly batch chains nobody documented. Row counts, hash aggregates, and financial control totals establish parity before a single user is cut over.
Oracle and OLTP schemas are mapped to warehouse models with explicit slowly changing dimension and late-arrival rules.
Dual-write or read-from-new while validating consumers reduces blast radius. Airflow sensors gate promotion between bronze, silver, and gold stages with human approvals where policy demands.
Runbooks include rollback triggers, RTO/RPO expectations, and executive comms templates. Freeze windows align with fiscal close and marketing peaks—never guessed.
After cutover we tune warehouse warehouses, retire duplicate pipelines, and re-tag environments so the new platform does not inherit technical debt under a cloud invoice.
Return to the data engineering hub for the full platform narrative, or open another enterprise focus area below.
Answers for data leaders, platform owners, and procurement—without hand-wavy claims.
Share your current warehouse, orchestration stack, and success metrics—we'll propose a phased path with clear validation gates.
