

Senior Data QA & Data Engineer with over 17 years of experience delivering scalable, reliable, and high-performance data solutions across complex enterprise environments. Strong background in Data Quality Engineering, QA Automation, and large-scale data processing, working with global teams in healthcare, maritime logistics, media, public sector, and e-commerce. Proven track record of measurable impact. Designed and optimized high-volume ingestion and validation pipelines in Databricks (Python / PySpark), reducing processing time from 16 hours to 45 minutes. Built proactive API validation mechanisms for government healthcare systems, detecting undocumented structural changes in real time and preventing critical production failures. Core technical stack: Azure Databricks, Azure Data Factory, PySpark, SQL, Delta Lake, Great Expectations, Salesforce & SFMC APIs, REST/SOAP testing, Selenium (.NET), RestAssured (Java), Cypress, CI/CD with Azure DevOps, Jenkins, and GitHub. Strong experience in ETL validation, data migration, pipeline testing, and cloud-based architectures. International mindset and collaboration-driven professional. Known for reliability, ownership, and clear communication with both technical and business stakeholders. Holder of a valid US B1/ B2 visa, open to global collaborations, remote roles, or onsite engagements.