JAHNAVI PUNURU Data Engineer

4+ years of experience in working with big data platforms like Hadoop, Spark, and Hive for processing large-scale datasets. Proficient in designing and implementing scalable and reliable data architectures using cloud-based services like AWS, Google Cloud, and Azure. Skilled in data visualization using tools like Tableau, Power BI, and D3.js to effectively communicate insights and findings to stakeholders. Experienced in data quality management and data governance practices to ensure data accuracy and compliance. Strong understanding of machine learning algorithms and techniques, with experience in implementing data-driven solutions for predictive modeling and analysis. Proven ability to work in cross-functional teams and collaborate effectively with business stakeholders, data scientists, and software developers. Adept at identifying and resolving data quality issues, ensuring accuracy and completeness of data for downstream analytics and reporting. Experienced in working with both structured and unstructured data, as well as a variety of data storage and processing technologies such as Hadoop, Spark, and AWS services. Skilled in designing and implementing scalable and efficient data solutions to support business needs, with a focus on performance optimization and cost reduction. Knowledgeable in data security and privacy regulations, and able to implement appropriate security measures to protect sensitive data. Effective communicator and collaborator, able to work closely with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions that meet their needs. Experienced in using Jira for agile project management, issue tracking, and team collaboration. Proficient in configuring Jira workflows, issue types, custom fields, and project permissions to meet project requirements. Experienced in using Confluence as a collaborative wiki for documentation, knowledge sharing, and team communication. Proficient in creating and organizing Confluence spaces, pages, and templates to support project documentation and workflows. Experienced in using Git and version control systems, such as GitHub and Bitbucket, for source code management, collaboration, and continuous integration and deployment. Proficient in creating and managing Git repositories, branches, tags, and pull requests. Skilled in configuring and using CI/CD tools, such as Travis CI and Jenkins, to automate the software development and deployment process. Experienced in designing and implementing relational and non-relational databases, such as MySQL, PostgreSQL, and MongoDB, to support data-driven applications and systems. Proficient in creating and optimizing SQL queries and stored procedures to extract and transform data. Skilled in database administration tasks, such as backup and recovery, performance tuning, and security management. Proficient in data warehousing concepts and technologies, including data integration, data aggregation, and data governance. Experienced in developing and maintaining data quality standards and processes. Skilled in building and optimizing data pipelines for large-scale data processing and analysis. Expertise in designing and implementing scalable and efficient data storage solutions. Proven ability to collaborate with cross-functional teams and stakeholders to understand business requirements and deliver data-driven solutions. Familiarity with cloud-based data platforms such as AWS, Azure, and Google Cloud. Strong analytical and problem-solving skills, with a keen eye for detail. Knowledge of machine learning and data science concepts, with experience in deploying models to production environments. Proficient in data visualization tools and techniques to effectively communicate insights to stakeholders.

Social Media Analytics Project, 12/2018, 

Analyzed social media data to gain insights into customer behavior and preferences., Used Python to collect and preprocess data from social media platforms like Twitter, Instagram, and Facebook. Apply data visualization techniques to create engaging dashboards and reports that highlight trends and patterns in customer behavior. Used sentiment analysis to understand customer sentiment towards products or services., Provided insights to business stakeholders on how to improve customer experience and engagement on social media platforms.

 Health Care Analytics Project, 06/2017, 

Analyzed healthcare data to identify potential areas for improvement in patient care and outcomes., Collected and preprocess data from electronic health records (EHRs) using SQL. Developed statistical models and predictive analytics to identify risk factors for certain diseases and health conditions. Used data visualization tools like Tableau to present findings and insights to stakeholders., Provided recommendations to healthcare providers on how to improve patient outcomes and reduce healthcare costs through data-driven insights.