• Configured IT systems on SAP HANA and Oracle E-Business Suite to enhance infrastructure monitoring and predictive maintenance; deployed automated alerts via SAP Solution Manager and Oracle Enterprise Manager, reducing downtime by 30%.• Developed and executed testing strategies with JIRA, Selenium WebDriver, and Jenkins for CI/CD, achieving a 30% reduction in system outages and a 50% decrease in defect leakage through comprehensive unit, integration, and UAT.• Implemented Agile methodologies (Scrum, Kanban) with Atlassian tools (JIRA, Confluence) to drive cross-functional collaboration, optimizing sprint cycles and improving project turnaround by 20% using Agile metrics.• Automated ETL processes and real-time analytics using Python (Pandas, NumPy), Apache Airflow, and Power BI, reducing manual reporting by 50% and enabling dynamic data visualization for rapid decision-making.• Led process optimization with Lean Six Sigma (DMAIC), using tools like Minitab and Visio, to cut Mean Time to Repair (MTTR) by 15% and lower operational costs by 10%.• Automated data cleansing and report generation processes using Python, reducing manual effort by 40% and increasing report delivery speed.

• Architected SQL Server databases and optimized queries using advanced indexing, partitioning, and normalization, boosting data retrieval speeds by 40% for real-time monitoring systems.• Deployed IoT solutions on AWS IoT Core and Azure IoT Hub for remote asset monitoring; used AWS SageMaker and Azure Machine Learning for anomaly detection, reducing maintenance costs by 25%.• Optimized ETL processes using BigQuery and Snowflake, reducing data processing time by 30% across multiple datasets.• Automated compliance reporting with Python and MS Power Query, increasing accuracy by 25% and streamlining data workflows.• Developed Tableau dashboards for real-time tracking of key performance metrics, enhancing decision-making for stakeholders.• Standardized data formats across diverse datasets, improving consistency and reliability by 15%.• Collaborated with stakeholders to define data requirements, ensuring datasets aligned with business needs.

Nuclei technologies • Developed and maintained Tableau dashboards, enabling data-driven decisions for organizational stakeholders.• Applied statistical analysis to enhance outcomes by 10%, focusing on key performance metrics.• Implemented Python-based data cleaning processes, reducing data errors by 20% and improving dataset accuracy.• Analyzed customer and contributor data, leading to a 15% increase in targeted contributions.• Automated manual data processing tasks with MS Power Query, saving 25% of time while maintaining high data quality and accuracy.