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Vinay Karanoore

Vinay Karanoore

Senior Software Tester

Bangaluru, Karnataka
80
Profile Score

About

To seek a responsible and challenging position within the organization that gives the scope to update my knowledge and skills in accordance with the latest trends to facilitate continuous career growth that works towards growth of organization.

Skills & Expertise (32)

AWS Advanced
8.5/10
3.6
Years Exp
SQL Advanced
8.5/10
5.6
Years Exp
DWH Testing Expert
8.0/10
5.6
Years Exp
ETL Testing Expert
8.0/10
5.6
Years Exp
ETL Advanced
7.6/10
3.6
Years Exp
SIT/Migration Testing Advanced
7.5/10
4
Years Exp
Data Quality Validation Advanced
7.5/10
4
Years Exp
Snowflake Advanced
7.5/10
3.5
Years Exp
Oracle Advanced
7.1/10
4
Years Exp
UNIX Advanced
7.0/10
4
Years Exp
LINUX Advanced
7.0/10
4
Years Exp
Jira Advanced
7.0/10
4
Years Exp
Regression Testing Advanced
7.0/10
4
Years Exp
Teradata Advanced
6.9/10
3.5
Years Exp
Zephyr Squad Intermediate
6.5/10
2
Years Exp
AWS Athena Intermediate
6.5/10
2
Years Exp
AWS S3 Intermediate
6.5/10
2
Years Exp
Airflow Intermediate
6.4/10
2
Years Exp
Python Intermediate
6.4/10
2
Years Exp
Informatica Intermediate
6.2/10
2
Years Exp
DataGrip Intermediate
5.8/10
1.5
Years Exp
StreamSets Intermediate
5.8/10
1.5
Years Exp
Software Tester S3 Streams Sets Athena Bitbucket Gitlab SQL Server Data Quality Testing Data Grip

Work Experience

Senior Software Tester

Tata Consultancy Services

May 2022 - Dec 2025

Worked on an ELT-driven data remediation program for Royal Bank of Scotland (NatWest Group), consolidating customer and product data from EDW, AIT, RESPOND, Teradata tables, Oracle tables, Equifax and Arkline Tracing into Snowflake. Validated end-to-end ELT flows from heterogeneous sources into the Snowflake raw schema, followed by cleansed, staging and intermediate layers, ensuring all mappings, keys and business attributes were correctly loaded. Tested data quality rules executed via AWS DQ on cleansed, staging and intermediate tables to identify and remediate data issues (duplicates, invalid values, missing attributes, broken referential integrity) before data was promoted. Verified MI and workflow schemas that store “golden” customer and account data used for downstream MI reporting, risk/compliance dashboards and front-end applications such as Cares and redress calculation engines. Designed and executed test scenarios for fee/interest remediation, complaint redress and customer outcome calculations, ensuring golden data in MI/workflow schemas produced accurate results for banking and insurance products. Used advanced SQL across Teradata, Oracle and Snowflake to reconcile key measures (balances, fees, interest, premiums, claim amounts) between source systems, intermediate layers and golden data, highlighting any remediation gaps. Participated in SIT and migration cycles, validating historical back-loads and incremental loads, capturing defects related to ELT logic, data quality rules and schema design, and supporting timely fixes with data engineers and business SMEs.

Education

Bachelor of Engineering - VTU Belagavi

- · Afghanistan

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceMar 2026

Skills (32)

AWS SQL DWH Testing ETL Testing ETL SIT/Migration Testing Data Quality Validation Snowflake Oracle UNIX +22 more