Vikas User

I’m a Data Engineering & Quality Engineering Specialist with 6.5+ years of experience in Big Data, cloud migration, Mainframe modernization, and enterprise-scale data validation across banking, financial services, and insurance.

In my current role at Tata Consultancy Services, I validate complex ETL/ELT pipelines across 18+ source systems, ensuring data accuracy, integrity, reconciliation, and business-rule compliance. I support backend validation for 150+ tables and high-volume daily batches (100K–250K+ records), including downstream applications, Tableau reports, UI screens, and file-based outputs.

I’m hands-on with Hadoop, Hive, Impala, PySpark, Python, and SQL to verify transformation logic like referral matching, activation processing, reject handling, and incentive calculations. I also lead defect analysis, root cause investigation, and reconciliation testing to deliver reliable, production-ready solutions.

Across Snowflake and AWS engagements, I performed source-to-target reconciliation and migration validation using record count checks, duplicate/null/PK verification, and schema/table-level validations. I collaborate cross-functionally, maintain audit-ready test evidence, and support release validation within Agile/Scrum using tools like JIRA and PractiTest.