Implementing cloud platform regression, preferably on GCP using Workflows, BigQuery, Cloud Run, Cloud Build, and Cloud Scheduler.
High proficiency in Python and SQL, including the use of related libraries to automate large‑scale transactional reconciliation and validate data availability for near real‑time data.
Good understanding of data warehousing, ETL processes, data transformations, and CI/CD deployments.
Experience working with graph databases, with hands‑on knowledge of the Cypher query language.
Skilled in implementing regression for high‑volume transactional data across multiple data layers, ensuring validations for accurate data quality outcomes and system stability.
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