• Built 100+ ADF Pipelines: Created over 100 Azure Data Factory pipelines, enhancing data integration and processing.• Managed Data Loads Up to 50TB: Orchestrated data transfers from 5MB to 50TB, optimizing resource use with full and incremental loading.• Established Data Governance: Implemented RBAC and Databricks Unity Catalog for secure access, reducing unauthorized access incidents by 30%.• Optimized 120 Databricks Notebooks: Enhanced 120 notebooks for data transformations using Python and SQL.• Improved Data Processing: Designed ADF pipelines for concurrent execution, applied compression techniques, and utilized auto-scaling, achieving a 25% increase in efficiency.• Constructed Comprehensive Data Solutions: Established metadata tables and linked services, creating a multi-layered storage architecture (bronze, silver, gold) in ADLS GEN2 to enhance data accessibility.• Streamlined Alerts and CI/CD Workflows: Utilized Logic Apps for automated alerts and set up CI/CD processes with Azure DevOps, reducing deployment time by 40% and ensuring integration of data solutions.

• Created efficient and reusable BDD automation scripts using Cucumber and Ruby; decreased regression testing time by 40% and reduced bugs in production by 25%• Conducted 100+ automated tests monthly, reducing manual effort and improving testing turnaround time by 30%.• Increased comprehensive testing coverage by 30% leveraging Lighthouse and Rio, improving user experience across platforms.• Conducted 100+ comprehensive web accessibility tests, achieving 100% compliance with WCAG standards.• Developed 10 detailed reports, contributing to a transparent and communicative testing process.• Pioneered the integration of Apple-based software solutions, boosting data analytical capabilities by 40% and reducing data processing time by 25%, leading to a 20% increase in data-driven decision-making efficiency.• Conducted data analysis using SQL queries and Python (NumPy, Pandas) for CSV files, reducing manual manipulation time by 50%.• Achieved a 60% reduction in turnaround time for user access verification and increased customer satisfaction scores by 50%.• Established a data cleaning and structuring process, enhancing data accessibility and usability for stakeholders. This resulted in a 15% increase in the use of data for analysis and reporting by key decision-makers.