Samtha K Email & Phone Number

United States

• Led seamless migration of Hadoop infrastructure to Azure, collaborating cross-functionally to minimize disruptions.
• Designed and implemented Azure-based data lake architecture, accommodating existing Hadoop ecosystem for scalability and flexibility.
• Developed and maintained efficient Python and PySpark-based data pipelines on Azure Databricks, processing large volumes effectively.
• Implemented data quality checks and monitoring mechanisms to enhance reliability and integrity of pipelines, ensuring data trustworthiness.
• Leveraged Azure services like SQL Data Warehouse and Synapse Analytics for optimized data warehousing solutions, enhancing resource utilization.
• Assisted in designing and developing data pipelines to facilitate the ingestion, processing, and storage of healthcare data.

India

• Architected and managed Apache Airflow-based data processing workflows, ensuring seamless execution of complex ETL tasks and dependencies.
• Demonstrated expertise in PySpark for comprehensive data analysis, developing ETL processes and database systems for real-time and offline analytics.
• Led successful migration of data infrastructure to AWS, enhancing scalability, reliability, and cost savings.
• Implemented data integration workflows using Apache Spark, Apache Airflow, and Python, ensuring accurate and timely delivery of data for critical business analytics.
• Managed and optimized data storage solutions, including relational databases (e.g., MySQL) and columnar databases (e.g., Amazon Redshift), improving query performance and reducing costs.
• Designed, developed, and maintained scalable and efficient data pipelines using AWS services like Glue, Lambda, S3, and EMR.

India

• Assisted in developing and maintaining ETL pipelines, ensuring accurate and efficient data ingestion and transformation.
• Supported integration of data from multiple sources into a unified database system, ensuring data integrity and cleanliness.
• Support integration of data from multiple data sources into a unified database system.
• Ensure the integrity and cleanliness of the data during the integration process.
• Performed routine database maintenance tasks, including indexing, backups, and updates, to ensure optimal performance.
• Conducted data quality checks and implemented validation procedures to ensure data accuracy and consistency.

Master'S Degree, Computer Science, 4.00

Bachelor'S Degree, Computer Science