Varshini Manugunta Email & Phone Number

Cincinnati, Ohio, United States

With extensive experience in financial data engineering and analytics, I have developed and managed ETL processes using AWS Glue and built scalable data pipelines with AWS Data Pipeline to optimize financial workflows. I have implemented secure data storage solutions using AWS S3, Redshift, and Lake Formation, ensuring data scalability and governance. Leveraging Apache Spark and Hadoop for large-scale data processing and analysis, I’ve optimized real-time data streaming with Apache Kafka and enhanced machine learning applications using TensorFlow for financial forecasting. My expertise includes managing Kubernetes for containerized applications, configuring DBT for data transformation, and improving query performance with SQL. I have led cross-functional teams, employed Agile methodologies, and championed data security and compliance to drive operational excellence. Additionally, I’ve provided actionable insights through detailed data analysis, supporting strategic financial decision-making and fostering a culture of data-driven innovation.

Dublin, Ohio, United States

With a strong focus on healthcare data management and analytics, I have administered large-scale data integration projects using Apache Airflow and managed healthcare data transactions through Azure SQL Database, ensuring operational efficiency and accessibility. I have deployed big data solutions with Azure HDInsight and orchestrated real-time data streaming using Apache Kafka to improve patient care response times. Leveraging Azure Machine Learning, I have implemented predictive models to enhance patient outcomes and optimized data storage with Azure Data Lake Storage (ADLS). My expertise includes enhancing data security with Azure Active Directory and Azure Key Vault, streamlining ETL processes, and automating workflows with Docker. I have led data engineering teams, supported data-driven decision-making, and advocated for best practices in data governance and security. Additionally, I have improved healthcare system accessibility with AJAX technologies and trained healthcare professionals on data tools to maximize the value of analytics in their daily operations.

New York, United States

With extensive experience in data management for the insurance industry, I have optimized data extraction processes using SSIS and enhanced data warehousing with Azure SQL Data Warehouse to support complex queries and analytics. I have automated workflows with Azure Data Factory, managed large-scale analytics with Databricks, and implemented real-time data streaming using Apache Kafka to improve decision-making. My expertise includes configuring PostgreSQL databases, automating data processes with Python, and ensuring secure data storage with Azure Data Lake Storage (ADLS). I have streamlined ETL processes, maintained data integrity with Talend, and led initiatives in data governance and compliance. Additionally, I have deployed data models to support insurance analytics, advocated for cloud solutions to enhance scalability, and collaborated with business units to align data strategies with organizational goals. My focus on continuous improvement, performance optimization, and training ensures effective data utilization and system reliability across the organization.

India

I have developed Python scripts to automate data quality checks, improving the reliability of analytics outputs. I have extensive experience utilizing Apache Hive for managing large datasets and Apache Spark for real-time data streaming, enabling dynamic analysis and decision-making. My expertise includes advanced data visualizations using Tableau, optimizing data pipelines with Jenkins, and ensuring data accuracy through SQL and Python assessments. I have led data governance initiatives, designed Apache Spark applications for efficient processing, and advocated for best practices in data management and security. Additionally, I have driven the migration of data processes to cloud-based platforms, coordinated with cross-functional teams, and provided strategic business insights by analyzing complex datasets. I am committed to fostering collaboration and continuous improvement, enhancing team skills through targeted training and promoting a culture of innovation.

India

extensive experience in integrating Oracle Database solutions for robust data management, utilizing Informatica PowerCenter to optimize ETL processes, and implementing Apache Kafka for real-time data streaming. I have developed predictive analytics models in R and created dynamic visualizations in Tableau to drive data-driven decisions. My expertise includes automating build and deployment processes with Jenkins, containerizing applications with Docker, and leveraging SQL for complex data manipulation. I have led database optimization projects, coordinated with cross-functional teams, and implemented security measures to ensure data integrity, while fostering innovation in data technologies and analytics.