Drexel University

PhD in Computer Science (GPA: 3.9/4.0)

Drexel University

Master of Science in Computer Science (GPA: 3.9/4.0)

COEP Technological University

Bachelor of Technology in Electronics & Telecommunication Engineering (GPA: 8.6/10.0)

Amazon Web Services (AWS)

• Designed and implemented data governance policies and standards, ensuring compliance with GDPR and internal regulations.
• Created metadata management solutions to improve accessibility for technical and business stakeholders.
• Developed AWS Glue-based ETL pipelines, reducing data processing times by 40%.
• Built scalable Redshift data warehouses for analytics, optimizing query performance and storage.
• Conducted training sessions on data governance frameworks, improving team alignment on best practices.
• Automated infrastructure deployment using Terraform, reducing manual errors and enhancing consistency.
• Optimized Lambda functions for real-time processing, ensuring data integrity across pipelines.
• Utilized CloudWatch for real-time monitoring and troubleshooting of AWS services and workflows.
• Designed and documented data pipelines to enable self-service analytics for non-technical teams.

Amazon Web Services (AWS)

• Created and managed S3-based data lakes to centralize and organize diverse datasets for analytics.
• Leveraged Amazon Kinesis for real-time data streaming, ensuring timely insights for critical business operations.
• Used AWS EMR with PySpark to process large-scale data, enhancing performance for complex analytical workloads.
• Developed Python scripts to integrate data from multiple sources into AWS EMR, ensuring seamless data flow.
• Built scalable, cost-efficient data lakes on S3 and processed them with AWS Glue and PySpark for advanced analytics and machine learning.
• Collaborated with cross-functional teams to resolve AWS infrastructure issues, improving platform reliability.
• Designed and documented data pipelines to enable self-service analytics for non-technical teams.

Mobileuc Technologies

• Developed data governance frameworks and policies to standardize data management practices across the organization.
• Built interactive Tableau dashboards to provide stakeholders with actionable insights and KPI tracking.
• Automated ETL pipelines using SQL and Shell scripting, reducing manual intervention by 50%.
• Designed and implemented data quality assurance processes, enhancing data accuracy and consistency.
• Managed data ingestion workflows from diverse sources into HDFS for analysis and reporting.
• Supported the integration of new systems into existing infrastructure with minimal downtime.
• Conducted performance tuning for SQL queries, improving report generation speed by 30%.
• Provided technical documentation on data governance processes to ensure alignment across teams.
• Collaborated closely with the business analytics team to deliver solutions tailored to business needs.
• Enhanced Tableau reports with dynamic filtering and real-time updates for better decision-making.

Coriolis Technologies

• Prepared and analyzed large datasets using SQL to derive insights and generate comprehensive reports.
• Created technical documentation to guide data users on best practices for data governance and analytics.
• Designed and maintained interactive dashboards using Tableau, improving data visualization.
• Conducted data quality checks and implemented workflows to standardize incoming datasets.
• Implemented process automation scripts in Python to streamline routine reporting tasks.
• Collaborated with stakeholders to define reporting requirements and ensure data-driven decision-making.
• Integrated diverse datasets from multiple sources into a centralized reporting framework.
• Applied statistical methods to identify trends and anomalies, supporting operational improvements.
• Reduced data processing times by 20% through workflow optimization and query enhancements.
• Provided actionable insights from data analysis that contributed to cost savings and efficiency improvements.