Yashwanth Reddy Email and Phone Number

• Administered AWS CloudWatch, EC2 and Elastic Load Balancing, leading to a 15% improvement in system uptime.• Developed Python scripts for data extraction from AWS cloud and executed machine learning workflows, reducing data processing time by 30%.• Designed and managed data solutions using S3 for storage, Glue for ETL, Athena for querying, and Lambda for serverless computing, enhancing data processing efficiency and reducing costs.• Developed SQL Server (T-SQL) stored procedures and Power BI reports, improving project planning and regulatory reporting accuracy by 20%.• Created, managed, and utilized metadata to enhance data organization, discoverability, and understanding, improving data governance and integrity.• Crafted REST APIs for feature extraction and prediction/forecasting algorithms on time series data, increasing forecasting accuracy.• Utilized JIRA for Agile project management, including task creation, sprint planning, and progress tracking to ensure timely issue resolution and project delivery.

• Developed complex SQL queries and PL/SQL code to perform data manipulation and extraction, ensuring high performance through query optimization and tuning techniques.• Developed interactive and visually compelling dashboards using Power BI, enhancing data visualization and facilitating data-driven decision-making.• Integrated Power BI with various data sources such as Excel, SQL Server and AWS enabling seamless data extraction and analysis from diverse sources.• Applied DAX (Data Analysis Expressions) to create custom calculations and queries in Power BI.• Developed and executed comprehensive data models and schemas for new database structures, utilizing SQL Server, MySQL, and PostgreSQL. Implemented measures to ensure data accuracy and accessibility, achieving successful outcomes.

• Introduced new features through Python integration, resulting in a 30% increase in user satisfaction and longer session durations.• Optimized SQL queries to improve data retrieval times by 15%, enhancing the efficiency of data-driven decision-making processes.• Performed data cleansing and preprocessing, ensuring data accuracy and reliability, which led to more consistent and meaningful analysis outcomes.• Ensured efficient data handling on the front end, leading to a 25% reduction in page load times and improved overall website performance.