Reethika Naramalla Email & Phone Number

Overland Park, Ks, Us

Overland Park, Ks, Us

Bloomington, Minnesota, United States

I have developed and optimized real-time data ingestion pipelines using Apache Kafka, enhancing data handling and processing efficiency. My work includes implementing scalable and high-performance data storage solutions with AWS S3 and utilizing AWS Glue for serverless data integration, which automates ETL processes to improve data availability. Additionally, I have configured and maintained Informatica workflows for complex data transformations, resulting in improved data quality and accessibility.In my role, I have deployed and managed machine learning models with PyTorch in AWS environments to boost predictive analytics capabilities. I also automated infrastructure provisioning using Terraform, significantly reducing setup times and minimizing human errors. My expertise extends to designing secure data processing environments using Docker, integrating AWS QuickSight for advanced data visualization, and employing Python for efficient scripting and workflow management.Furthermore, I have orchestrated complex data workflows using Apache Airflow and managed robust cloud-based data architecture with AWS services. By utilizing version control through GIT, implementing agile methodologies via Jira, and enhancing data security with AWS Key Vault, I have ensured timely project delivery and protection of sensitive data. My experience includes leveraging Tableau for interactive reporting, optimizing data transformation processes with DBT, and applying data encryption protocols to maintain compliance in cloud environments.

Morrisville, North Carolina, United States

I have designed automated data workflows using Apache Airflow to optimize the management of healthcare data processes, ensuring efficiency and reliability. My experience includes integrating healthcare data with Azure SQL Database and Azure Data Lake Storage (ADLS) to provide robust, scalable storage solutions. Additionally, I developed real-time data streaming systems using Apache Kafka and Azure Event Hubs, which enhanced data flow efficiency and streamlined the ingestion processes through Stream Sets, facilitating the integration of diverse healthcare data sources.To further improve data analysis in healthcare, I utilized Databricks for complex data processing tasks and implemented security measures using Azure Active Directory and Azure Key Vault to protect sensitive patient information. My skills in SQL and Python enable me to conduct extensive data querying and management, ensuring accurate data retrieval and manipulation. I also orchestrated containerized application deployments using Docker, enhancing system reliability and scalability.In managing agile projects with Azure DevOps, I improved team collaboration and project tracking for healthcare data initiatives. I leveraged Azure HDInsight for large-scale data processing and implemented ETL processes with Python and SQL to automate transformations and ensure data quality. By developing Unity Catalog in Databricks, I improved data governance and security, while optimizing data storage and performance using ADLS. My efforts have advanced healthcare data analytics initiatives, ultimately driving improvements in patient care services.

Charlotte, North Carolina, United States

I designed and implemented ETL solutions using SSIS and Azure Data Factory, which enhanced data workflows within the insurance domain. My expertise includes managing big data processing tasks with Apache Spark and Azure HDInsight, significantly improving data analytics capabilities. Additionally, I implemented robust data storage solutions using Azure Data Lake Storage (ADLS) to optimize data scalability and accessibility, while utilizing Azure SQL Database for efficient management of large insurance databases.To streamline application development and testing environments, I deployed Docker containers and orchestrated application and data workflows using Kubernetes, enhancing system reliability and scalability. I developed SQL and Python scripts for routine data operations, which increased efficiency and reduced errors. By integrating data from various sources into a unified data warehouse, I improved data consistency and quality, and utilized Informatica for complex data transformations to ensure accurate data delivery to business users.In my role, I engaged in designing and implementing data security measures to ensure compliance with industry standards, and conducted performance tuning of data processes to optimize efficiency and throughput. Collaborating with business analysts, I developed data models and schemas to support new business initiatives, while managing version control with GIT to ensure seamless collaboration. I also implemented continuous integration and deployment practices, engaged in agile project management, and facilitated team meetings and training sessions to align strategies and enhance team capabilities.

Pune, Maharashtra, India

I developed data pipelines using Python and Talend to facilitate efficient data collection and processing, ensuring high availability and performance in database operations with Oracle Database. My role involved implementing continuous integration and deployment pipelines using GitLab and Jenkins, which enhanced software delivery and streamlined workflows. By automating routine data management tasks with Python scripting, I significantly reduced manual effort and maintained code quality using Subversion (SVN) to improve team collaboration and version control.To improve data availability and processing speed, I integrated Apache Kafka for real-time data streaming and developed ETL processes that effectively transformed, loaded, and verified data integrity across systems. Collaboration with software developers and database administrators allowed me to optimize data flows and system performance, while I also designed and implemented data validation routines to ensure the accuracy and reliability of our data stores. Additionally, I conducted data migration projects, ensuring seamless transitions without data loss and engaged in troubleshooting and debugging data-related issues to minimize downtime.My responsibilities included developing comprehensive documentation for data management systems to provide clear instructions for users, participating in technology upgrade projects to incorporate new tools into existing frameworks, and coordinating with project managers to adhere to timelines and specifications. I conducted regular training sessions for team members to enhance their skills in data management and tool usage while implementing security measures to protect data integrity and confidentiality. I also developed custom reports and dashboards for clients, facilitating improved business decision-making and engaging in strategic planning sessions to refine data handling practices and infrastructure.

Pune, Maharashtra, India

I have analyzed and interpreted complex data sets using R, Python (with libraries such as pandas and NumPy), and SQL, delivering key insights that drive business decisions. My experience includes developing business intelligence dashboards and reports with Tableau and Power BI, significantly enhancing data visualization capabilities. I managed and maintained databases using Microsoft SQL Server, ensuring robust data storage and retrieval, while streamlining data analysis processes to improve efficiency and support timely business decisions.To enhance data intake and processing, I utilized Apache Kafka for handling large-scale data streams and implemented data quality controls using Subversion (SVN) to ensure the integrity and accuracy of our data. Collaboration with business teams was essential in understanding their data needs, allowing me to deliver tailored data solutions. I designed and executed data models and schemas that supported complex storage requirements and conducted regular data audits to ensure compliance with data governance standards.Additionally, I participated in developing data policies and procedures that prioritize security and privacy while coordinating with IT teams to implement new technologies that enhance data processing capabilities. I provided training and support to end-users to ensure the effective use of data tools and systems and engaged in data migration and integration projects to facilitate seamless data flows between systems. My responsibilities also included developing and maintaining technical documentation for data systems to aid in system maintenance and upgrades, as well as managing project timelines and deliverables using agile methodologies to ensure project success and stakeholder satisfaction.