Proven Data Engineer with a track record of enhancing data quality and efficiency at Amazon. Leveraged advanced Python skills and ETL expertise to reduce pipeline execution times by 30%. Demonstrated exceptional problem-solving abilities and collaboration, ensuring 99.9% data reliability at Accenture. Skilled in Agile methodologies and data wrangling, consistently delivering actionable insights.
Real-Time Data Visualization Using Python, Trine University, Developed a dynamic dashboard using Python and Matplotlib to visualize and analyze real-time data from APIs., Integrated the project with Pandas for data wrangling and NumPy for efficient computation., Demonstrated strong teamwork by collaborating with a team of 3 to present findings on data trends in front of a university panel. Implementation of Digital and Analog Clocks, Designed and developed functional digital and analog clocks using Python's tkinter, time, and datetime modules., Focused on optimizing the user interface for smooth transitions between time formats., Actively contributed to coding and debugging, ensuring efficient performance. Fitness Tracker using Java, An all-inclusive fitness tracking tool that helps users record their workouts, measure their progress, count calories burned, and evaluate their fitness objectives over time., Utilized Java, MySQL and JavaFX for tracking and monitoring maintaining the user interface.