A seasoned professional with over a decade of experience in data engineering and QA processes. Extensive hands-on expertise in designing, building, and operating high-scale and fault-tolerant data services leveraging Open Source Big Data Stack technologies such as Hadoop and Spark. Proven track record of successfully leading and delivering complex projects spanning multiple engineering organizations, utilising agile methodologies and test-driven development (TDD) practices. Specialised in Big Data Testing, including ETL and data analytics, with a passion for coding solutions and automations using Python. Adept at exploring data challenges and delivering robust quality assurance across diverse domains, including US Healthcare, Education, Data Integration, ETL, BFSI, WFM, and more. Demonstrated success in delivering and integrating Vasco and RSA MFA products with Fiserv Banking solutions. Consistently maintained high standards of quality, achieving a remarkable 0.2% defect leakage rate in various Fiserv Business Banking projects delivered to prominent financial institutions. Skilled in leveraging cutting-edge data technologies and QA processes to drive innovation, continual improvement, and contribute to organizational growth and advancement. Certified : Databricks, Gremlin, ISTQB, HIPPAA and Automation Expertise : Databricks, Python, Spark, Automation, QA and Data Analysis Skills : Python, Redshift, Automation testing, FTP, Clustering, Agile, Scrum, CI/CD Frameworks : Robot, BDD, pytest-BDD and hybrid , RPA Tools : Pycharm, Jupyter-notebook, terraform, UFT 12.02, TFS, Docker, Kunernates, Quality Center, Mainframe I-series, SQL server, My SQL, Selenium, Jenkins, Gitlab, UIPAth Domains: Data Integration, Data Transformation and Analysis, BFSI, API Testing, ETL, Education