. Developed an AWS Lambda and Airflow pipeline to process and validate financial transaction S3 files via SFTP, reducing processing time by 20% and improving data accuracy and efficiency.. Built AWS Glue ETL jobs to transform and load data into Redshift, enhancing data quality and availability by 15% for superior analytics and decision-making.. Leveraged Apache Spark on AWS EMR to process datasets up to 8TB, optimizing resources and boosting processing speed by 60%, ensuring quicker… Show more . Developed an AWS Lambda and Airflow pipeline to process and validate financial transaction S3 files via SFTP, reducing processing time by 20% and improving data accuracy and efficiency.. Built AWS Glue ETL jobs to transform and load data into Redshift, enhancing data quality and availability by 15% for superior analytics and decision-making.. Leveraged Apache Spark on AWS EMR to process datasets up to 8TB, optimizing resources and boosting processing speed by 60%, ensuring quicker data availability and reporting. Show less

• Prepared, evaluated and graded various assignments & projects for a class of over 40 students in the course titled "Fundamentals of Computer systems"• Worked on providing constructive feed-backs and clarifying student queries on assignments and Projects• Conducted Office hours to clarify queries/doubts.

ECE 5484 – Computer Systems○ Assisted instructor in teaching Computer Systems course by guiding during lab sessions, grading assignments, holding office hours, and facilitating student discussions.

• Conducted thorough data analysis using statistical methods and Python libraries to extract actionable insights from large datasets.• Developed, trained, and optimized machine learning models using Python libraries such as Scikit-learn, TensorFlow, and Keras.• Designed and built ETL pipelines to extract, transform, and load large volumes of data from various sources into a centralized data warehouse, utilizing Python and SQL.• Developed and maintained scalable web applications… Show more • Conducted thorough data analysis using statistical methods and Python libraries to extract actionable insights from large datasets.• Developed, trained, and optimized machine learning models using Python libraries such as Scikit-learn, TensorFlow, and Keras.• Designed and built ETL pipelines to extract, transform, and load large volumes of data from various sources into a centralized data warehouse, utilizing Python and SQL.• Developed and maintained scalable web applications using Python and the Django framework, resulting in a 20% improvement in overall system efficiency.• Contributed to data modeling efforts to optimize database schemas for efficient data storage and retrieval, improving query performance and reducing latency. Show less

• Designed and built ETL pipelines to extract, transform, and load large volumes of data from various sources into a centralized data warehouse, utilizing Python and SQL.• Worked on data mining for large financial datasets to create static reports and providing insights using tableau.• Created automated ETL workflows using SQL Server Integration Services (SSIS) to migrate and transform data, reducing manual data handling and increasing data consistency. • Developed and managed data… Show more • Designed and built ETL pipelines to extract, transform, and load large volumes of data from various sources into a centralized data warehouse, utilizing Python and SQL.• Worked on data mining for large financial datasets to create static reports and providing insights using tableau.• Created automated ETL workflows using SQL Server Integration Services (SSIS) to migrate and transform data, reducing manual data handling and increasing data consistency. • Developed and managed data pipelines using Apache Airflow for orchestrating complex workflows, ensuring reliable and timely data processing.• Performed data quality assessments and implemented validation rules, ensuring data accuracy and reliability, which improved overall data quality by 30%. Show less

. Performed data quality assessments and implemented validation rules, ensuring data accuracy and reliability, which improved overall data quality by 30%.. Designed and developed responsive, cross-platform dashboards to enhance business operations in the hospitality sector, resulting in a 15% improvement in the Management Action Plan (MAP) execution..Worked on data mining for large financial datasets to create static reports using QlikView and QlikSense, providing actionable insights… Show more . Performed data quality assessments and implemented validation rules, ensuring data accuracy and reliability, which improved overall data quality by 30%.. Designed and developed responsive, cross-platform dashboards to enhance business operations in the hospitality sector, resulting in a 15% improvement in the Management Action Plan (MAP) execution..Worked on data mining for large financial datasets to create static reports using QlikView and QlikSense, providing actionable insights and reducing report generation time by 20% Show less