Sri K. Email & Phone Number

New Jersey, United States

• Currently working with a team of 10 members, including Data Engineers and Business Analysts, to develop and maintain data integration systems using Apache Airflow. Sources smartwatches, fitness bands, scheduling apps.
• Utilizing a robust tech stack including SQL, ETL processes, Azure SQL Databases, Azure Data Factory, and Azure Blob Storage to ensure efficient data management and build pipelines.
• Develop real-time analytics… Show more
• Develop real-time analytics solutions using Azure Stream Analytics to monitor patient vitals and IoT device data for early detection of health anomalies.
• Implemented Apache Spark pools within Synapse SQL pools to analyze caregiver performance metrics, such as visit timeliness and patient satisfaction scores, automating reporting processes and saving approximately 30.
• Collaborating closely with data scientists to uncover trends in vital signs using Power BI's advanced analytics features and DAX functions. Together, created custom forecasting models tailored to specific needs.

• Automated data ingestion processes from multiple sources including transaction logs, customer records, and external financial data feeds by utilizing AWS Lambda and AWS Step Functions, resulting in a 45% reduction in.
• Managed relational databases with Amazon RDS for transactional data and Amazon Redshift for data warehousing, supporting over 100 million transactions per day and enabling efficient querying and reporting with a 20%.
• … Show more
• Developed real-time data processing pipelines with Amazon Kinesis Data Streams and Kinesis Firehose to handle high-frequency transaction data, processing over 400,000 transactions per second and significantly improving.
• Constructed and maintained data lakes on Amazon S3, providing scalable and efficient storage for over 1 petabyte of structured and unstructured data.
• Monitored and optimized AWS resource usage with AWS Cost Explorer and Trusted Advisor, resulting in a 25% reduction in operational costs while maintaining high performance.

India

• Assisted in designing comprehensive ETL solutions for data processing.
• Prepared detailed design documents, test plans, and deployment strategies, ensuring clear project milestones and reducing deployment errors by 15%.
• Developed technical mapping specifications and error handling documents, facilitating smooth data transformations and reducing data errors by 10%.
• Implemented complex business logic using Lookups, Router, Aggregator to process 10,000 records daily, enhancing data… Show more
• Implemented complex business logic using Lookups, Router, Aggregator to process 10,000 records daily, enhancing data accuracy by 95%.
• Utilized Hive QL and Spark SQL to analyze partitioned and bucketed data, generating actionable insights.

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science And Engineering