Senior quality engineer specializing in ETL pipeline validation, test automation frameworks, and data integrity assurance. Currently deployed at Morgan Stanley via Capgemini — ensuring regulatory-grade data quality in financial services.
Profile
Engineering data trust at scale — validating the pipelines that power financial decisions.
I'm a Software Engineer at Capgemini, deployed at Morgan Stanley on a Fixed Term Contract within the Data Risk Management (Lending) fleet. My work sits at the critical junction of finance, data engineering, and quality assurance.
Every day I validate end-to-end ETL pipelines — from raw file ingestion through Teradata and Snowflake layers to final regulatory extracts — ensuring the data that drives risk decisions is accurate, complete, and traceable.
I believe quality isn't an afterthought — it's engineered in. Whether building ICEDQ automation frameworks, designing Selenium BDD suites, or performing root cause analysis on data mismatches, my goal is always the same: zero surprises in production.
Deep expertise in Lending & Risk Data Management — Morgan Stanley's Data Risk Management fleet, regulatory data flows, and financial compliance.
End-to-end pipeline validation across Teradata → Raw → Refined → Extract layers. Automated regression via ICEDQ Rules APIs.
Designed reusable Cucumber + TestNG + Selenium BDD frameworks integrated with Git CI pipelines, cutting manual regression dramatically.
End-to-end REST API test suites via Rest Assured and Postman — functional, integration, and regression coverage across all environments.
Technical Arsenal
A battle-tested toolkit spanning automation, data engineering, API testing, and financial domain expertise.
Career
Building quality engineering expertise at the intersection of finance and technology.
Work
Production-grade solutions in data quality, test automation, and API engineering.
Scheduled ICEDQ Rules API scripts for daily automated ETL regression across Raw, Refined, and Extract layers — eliminating manual validation effort and ensuring consistent data quality across the Lending domain's critical pipelines.
Comprehensive validation of File2TD, TD2TD, TD2Extract, DL2Extract flows across Teradata, Snowflake, and Data Lake. Includes JCL batch scheduling, EDOPT secure transfer verification, and structured RCA workflows.
Built reusable Cucumber + TestNG BDD framework with Selenium WebDriver (Java), integrated with Git for CI pipeline support. Significantly reduced manual regression effort through modular design and script optimization.
Comprehensive API test suite using Rest Assured and Postman covering functional, integration, and regression scenarios for RESTful services across all environments, ensuring reliable endpoint coverage and early defect detection.
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Academic Background
Contact
Open to quality engineering roles, data pipeline validation projects, or consulting opportunities in fintech and banking. Let's connect.