Raj Tamp

Leading a team of 30 QE resources, both onshore and offshore.

· Successfully integrated Org, Merger & Acquisitions from a data domain perspective.

· Developed and executed tailored end-to-end test strategies, capturing user journey details, conducting thorough testing, and managing reviews and sign-offs.

· Collaborated cross-functionally with Development, Product, Business, and Project Management partners to ensure project success.

· Mediated effectively with multiple scrum teams to manage upstream and downstream data dependencies in data warehousing and analytics areas.

· Oversaw Quality Engineering deliverables, from establishing testing approaches to certifying builds and providing support on release days.

· Determined test data requirements and enhanced the process for populating data in lower environments and creating Snowflake synthetic data.

· Enhanced the data test automation framework to streamline solution packaging.

· Implemented test data validations using API test automation.

· Effectively utilized Generative AI tools, including GitHub Copilot and in-house AI tools, for daily Quality Engineering tasks.

· Created an automated validation approach for QA’ing reports built from data analytical tools such as Tableau and testing workflows for Alteryx and OBIEE.

· Integrated the test management application (Qtest) for maintaining test results and dashboard reporting.

· Established data analysis and quality solutions to conduct fit checks for business consumption.

• Analyzed data to identify areas of improvement, implementing changes that resulted in greater operational efficiency.
• Successfully managed change within the organization, ensuring smooth transitions during periods of restructuring or process improvements.
• Managed cross-functional teams to ensure seamless coordination between QA, development, and support departments.
• Assessed product quality by monitoring quality assurance metrics, reports and dashboards.
• Overseeing vendor relationships to ensure adherence to quality standards during outsourced projects or collaborations.
• Promoted continuous learning within the QA department through regular QED Tech talks and trainings focused on evolving industry best practices.
• Ensured compliance with industry best practices by staying abreast of emerging trends like Gen AI (Test case generator,Git hub co-pilot, Amazon Q, quicksights) in quality assurance management.
• Utilized automation tools to increase efficiency in repetitive tasks, allowing more time for exploratory testing and issue resolution efforts.
• Collaborated with VPs,SVP's, EVP's in order to streamline the Quality engineering goals. Created and Presented CIO readouts for Executive leadership on monthly status.

· Implemented a Snowflake cloud automation solution using Python, resulting in a 95.5% efficiency gain, saving 442 hours of effort, and achieving a cost avoidance of $22k per year.

· Spearheaded the implementation of 23 projects using the GitHub Actions one-click automation feature as part of the CI/CD process.

· Demoed Snowflake zero copy cloning, masking techniques, and synthetic data generation with Snowflake sampling at LPL tech talks.

· Automated the validation of Tableau server upgrades using a Python-based solution that compares PDF/CSV files before and after upgrades, significantly reducing time savings in lower and production environments.

· Led proof-of-concept initiatives for tools like ICEDQ, evaluated others such as TOSCA DI, DataGaps, and Query Surge, and provided ICEDQ demos.

• Championed a culture of excellence among team members by setting high expectations for quality assurance standards.
• Maintained strict compliance with regulatory requirements by implementing appropriate controls within the QA framework.
• Collaborated with cross-functional teams to drive effective communication and seamless project execution.
• Managed end-to-end testing efforts for multiple projects, ensuring successful release of robust applications.

· Provided quality services to customers in upgrading EDW streams from relational DBs to the cloud platform.

· Involved in database applications integration for customer new acquisitions.

· Liaised with Agile scrum teams in sprint planning, product backlog review, refinement, stand-ups, and sprint closure.

· Designed and implemented a customizable automation framework using Tosca DI to cater to future needs.

· Performed white box testing by reviewing Snowflake stored procedures, triggering tasks in GitLab, managing code deployments using GitBash, and validating audit logs.

· Executed job runs using Control-M and Autosys applications to ingest data from one platform to another.

· Validated data pipeline setups for data ingestion from AWS to Snowflake.

· Conducted data validation using open-source automation tools.

· QA’ed Web and API applications using the TOSCA low-code automation tool.

· Validated Cognos and Power BI reports against tables from a data consumption perspective.

· Conducted data profiling, data reconciliation, and data quality checks using Python Pandas and NumPy libraries.

· Utilized Matplotlib and Bamboli plotting techniques for data visualization to analyze incoming data for validation.

• · streamlining processes.
• · Customers included Abacus Insights – Cambia and Horizon BCBS, and Zions Bancorporation.
• · Developed test strategies and approaches for data ingestion and consumption.
• · Reviewed data ingestion and consumption requirements, conducted briefing sessions with BSAs, and discussed QA coverage.
• · Provided detailed test plans, optimized effort estimates, and created application understanding documents.
• · Executed project releases in an Agile scrum model, including sprint planning, product backlog reviews, and story point estimation.
• · Identified QA environment configurations and access permissions and ensured team member profiles were set up.
• · Conducted validation of PHI data in AWS cloud services such as Athena, S3, EC2, and Redshift.
• · Extensively used Jupyter Python tool integrated into the AWS platform for data access, file maintenance, runs, and results.
• · Performed data analysis and validated profiling results in the Athena database for constraint checks, data quality, and bad data presence in the source system.
• · Conducted parser validation for raw files received in various formats (FWF, CSV, pipe-delimited, and JSON) and compared them with source files loaded by the development team, performing count and data validation.
• · Automated test database migration and ETL activities using Query Surge and generated dashboards for client communication.
• · Extensively used R programming (RStudio)/Python tools for data analysis, preprocessing, and validation.
• · Queried datasets by applying filters, sorting parameters, and concatenating multiple columns to create unique variables.
• · Performed data analysis for missing data, applied data format changes, and validated data properties.

• QA Lead specialized in Healthcare, BFSI, Test data management, Automotive, and Insurance sector solutions.
• · Supervised a 6 to 8-member software QA testing team in developing and implementing quality assurance and quality control methodologies to ensure compliance with QA standards, legal compliance, and customer specifications.
• Customers :GM Financial, Experian UK Ltd.
• Key Accomplishments:
• · Successfully coordinated on/offshore teams to handle 26 database migrations from Mainframes VSAM/M204 files to DB2.
• · Implemented approximately 50 enhancements in the AS400 platform production.
• Tech Stack: AS400, HP ALM, Salesforce, Middleware, and Thunderhead.