Ayan Chandra

About Ayan Chandra

Quality Engineering Manager and Data Quality Leader with 22+ years of experience driving…

Experience

1. Senior Consultant -transformation & Automation Lead

   Visa

   Mar 2011 — Present · Austin, TX, US

   Directed quality engineering transformation for enterprise-scale financial and data platforms, embedding AI-driven validation and automated quality gates into CI/CD pipelines, accelerating releases by 30%. Designed and implemented robust data quality frameworks enabling end-to-end validation and observabilityacross Azure, Azure Data Factory, and SQL-based pipelines, ensuring accuracy and reliability of data flows. Architected an AI-powered Data Generation and Validation Framework leveraging Python, Pandas, and PySpark,reducing test data defects by 60% and increasing test coverage across large-volume datasets. Orchestrated automation strategy for REST APIs, data pipelines, and ETL workflows, using Java, Python,Selenium, Playwright, and REST Assured to achieve 95% regression automation coverage. Led cross-functional collaboration with data engineering and BI teams to validate ETL logic, data schemaintegrity, and end-to-end data lineage in support of business-critical analytics and reporting systems. Drove test automation integration with Jira, Zephyr Scale, and Azure DevOps to enable real-time traceability,bug tracking, and metric-driven QA reporting. Championed AI-in-QE (Quality Engineering) and data observability best practices, mentoring global QA teams onintelligent test optimization and defect prediction. Directed performance and load testing for high-throughput systems processing $10B+ in transaction volume,ensuring scalability and stability under peak load conditions. Established QA KPIs, automation health dashboards, and strategic quality metrics influencing investment intesting tools and workforce efficiency.ACHIEVEMENTS & RECOGNITION: Recipient of multiple UPLIFT Awards recognizing innovation in AI and leadership excellence across global Visa technology teams Delivered enterprise-scale AI automation transformation adopted company-wide, setting new benchmarks for intelligent quality engineering and ML-enhanced DevOps.

Education

• University of Kalyani

  Bachelor's degree, Information Technology

• RCC Institute of Information Technology

  B. Tech, IT

  1999 — 2003

Skills

• Agile Methodologies
• Etl
• Enterprise Architecture
• Unix
• Data Warehousing
• Business Intelligence
• Db2
• Oracle
• Unix Shell Scripting
• Ab Initio
• Abinitio
• Talend
• Tableau