Venkata Krishna Vamshi Alla Email & Phone Number

Bengaluru, Karnataka, India

• Implemented and customized time tracking applications to monitor and record employee work hours.• Integrated time tracking data into Excel, leveraging Power BI for dynamic reporting and visualization.• Automated data extraction and transformation processes, enhancing efficiency and accuracy in time management reporting.• Collaborated with stakeholders to ensure seamless adoption and utilization of time tracking and reporting tools.• Increased productivity by 25% through… Show more • Implemented and customized time tracking applications to monitor and record employee work hours.• Integrated time tracking data into Excel, leveraging Power BI for dynamic reporting and visualization.• Automated data extraction and transformation processes, enhancing efficiency and accuracy in time management reporting.• Collaborated with stakeholders to ensure seamless adoption and utilization of time tracking and reporting tools.• Increased productivity by 25% through streamlined workflow automation Show less

Hyderabad, Telangana, India

Real-time Data Processing Pipeline for User AnalyticsTechnologies Used:Python: Developed real-time data processing scripts for user activity tracking, achieving a 30% improvement in processing speed.SQL: Wrote complex queries to aggregate and analyze user data, reducing query execution time by 40%.AWS: Leveraged AWS Kinesis for real-time data ingestion, AWS Lambda for serverless processing, AWS Redshift for data storage, AWS S3 for data archiving, AWS Glue for automated… Show more Real-time Data Processing Pipeline for User AnalyticsTechnologies Used:Python: Developed real-time data processing scripts for user activity tracking, achieving a 30% improvement in processing speed.SQL: Wrote complex queries to aggregate and analyze user data, reducing query execution time by 40%.AWS: Leveraged AWS Kinesis for real-time data ingestion, AWS Lambda for serverless processing, AWS Redshift for data storage, AWS S3 for data archiving, AWS Glue for automated ETL jobs, and AWS IAM for secure access management.Key Contributions:Built and maintained an ETL pipeline that processes over 5 million user activity records daily.Automated data validation to ensure data accuracy and integrity, resulting in a 25% reduction in data errors.Collaborated with the analytics team to provide timely and actionable insights, improving decision-making speed by 20%.Implemented AWS CloudWatch for monitoring and logging, which increased system reliability by 35%.Utilized AWS Glue for automated ETL jobs, reducing manual intervention by 50%.Integrated AWS IAM for secure access management, enhancing data security and compliance by 30%.Designed and executed a data partitioning strategy in Redshift, which improved query performance by 40%.Employed AWS Step Functions to orchestrate complex workflows, reducing processing time by 20%.Developed and implemented a real-time anomaly detection system using AWS Lambda and Python, decreasing incident response time by 25%.Set up AWS SNS for real-time notifications and alerts, improving system monitoring and response efficiency by 15%.Conducted regular performance tuning and optimization of the entire pipeline, leading to a 20% overall efficiency gain. Show less

Master'S Degree, Information Technology, A

Bachelor Of Technology - Btech, Computer Software Engineering