Pinky Prasad

Led end-to-end QA for enterprise-scale data migration and analytics programmes at a global fintech client (EverBank USA). • Directed validation of 100+ ETL pipelines — SCD-2, CDC, fact/dimension loads — improving data accuracy by 40% through enhanced validation frameworks • Defined and owned QA strategy, test plans, and execution frameworks from project inception to production sign-off • Optimised SQL queries and validation scripts, reducing execution time by 20–50% • Embedded within Agile squads: daily st

Managed full-lifecycle QA for data warehousing and ETL programmers, leading a cross-functional team of 10–12 QA engineers, data engineers, and business analysts for Auto-finance project • Delivered 20+ end-to-end ETL/DWH releases with 98% on-time delivery and zero critical defects in production • Automated 70–80% of regression and reconciliation checks using SQL and Python — reducing test cycle time from 3 days to 1 day • Validated 50+ Informatica pipelines, ensuring 100% compliance with business rules and

Drove QA automation and data integrity initiatives for core banking systems, combining engineering depth with quality leadership for Citi Bank (USA) • Automated QA workflows with Python and PySpark, cutting QA cycle time by 35% and enabling faster release cadence • Strengthened SQL-based data integrity checks, reducing data errors by 25% across critical banking data flows • Implemented SSO and MFA solutions with 95% adoption rate — validated security, integration, and regression test coverage across releas

QA-Automatisierung: Automatisierte Workflows mit Python und PySpark; reduzierte die QA-Zyklusdauer um 35 % und schuf Kapazität für explorative Tests. SSO/MFA-Tests: Testete Integrationen für 15.000+ Benutzer; erreichte 95 % Akzeptanzrate und null Authentifizierungsfehler nach Launch.

Delivered GxP-compliant QA for regulated pharma data projects in a highly controlled validation environment where documentation quality carries the same weight as test execution for US Integration Project • Ensured 100% GxP compliance across the KEAP pharma data programme — zero audit findings across all validation cycles • Optimised HP ALM test management workflows, reducing overall validation effort by 40% without compromising traceability or regulatory coverage • Developed VBA-based validation scripts a

Built and led API and UI test automation for a fast-moving financial services product team, combining hands-on engineering with defect process leadership for Life Science Project • Designed and implemented API test suites using Postman, significantly improving test reliability, coverage, and repeatability across REST endpoints • Automated data validation workflows using Selenium, saving 30% of manual QA effort per release cycle and freeing the team for higher-value testing • Chaired defect triage meetings

Delivered data quality and ETL test analysis across 10+ enterprise SAP programmes spanning on-premise, hybrid, and cloud environments — building the technical foundation that all later leadership roles drew on. • Identified and resolved critical data quality defects — NULLs, duplicates, truncation, incorrect joins — reducing overall defect volume by 35% across data loads • Designed automated reconciliation scripts for SAP → DWH pipelines, cutting manual validation effort by 60–70% and improving data accura

Started career in ETL testing for investment banking systems — developing the SQL, data analysis, and cross-functional communication skills that have defined every role since. • Managed ETL test execution for investment banking data flows, reducing data discrepancies by 40% through precise SQL-based validation and root cause analysis • Improved cross-functional issue resolution processes, cutting issue backlog by 50% through structured defect communication between QA and development teams • Built early exp

Investment-Banking-ETL: Leitete ETL-Tests und reduzierte Datenabweichungen um 40 % durch gezielte SQL-Validierung. Zusammenarbeit: Verbesserte Abstimmung; verringerte den Problemlösungsrückstand um 50 %.