PRANEETH VARMA PENMATSA

With three years of experience, I'm an adept AWS Data Engineer and Cloudera specialist, skilled in MapReduce, Hive, Python, PySpark, Scala, Kafka, and Spark streaming. Holding a Master's degree in IT, I integrate diverse technologies for robust data solutions. Accomplished engineer proffering extensive cloud monitoring, deployment and troubleshooting skills. Defined, built and maintained infrastructure using vendor-neutral and platform-specific tools.

• Extensive knowledge and hands-on experience with AWS services such as S3, Glue, Athena, Redshift, EMR, and Lambda, alongside proficiency in Cloudera's ecosystem for comprehensive data management.
• Strong skills in designing, developing, and optimizing ETL processes for efficient data extraction, transformation, and loading, utilizing both AWS and Cloudera technologies.
• Proficient in Python, SQL, and other programming languages commonly used in data engineering for big data processing, integrating seamlessly with both AWS and Cloudera platforms.
• Solid understanding of data modeling techniques for relational and NoSQL databases, ensuring effective and scalable data storage and retrieval across AWS and Cloudera environments.
• Experience in managing and optimizing databases on both AWS and Cloudera platforms, implementing best practices for performance and scalability.
• Familiarity with best practices for securing data in both AWS and Cloudera environments, including AWS IAM, encryption, and Cloudera's security features.
• Proficient in setting up and managing CI/CD pipelines for data applications using tools like AWS CodePipeline or AWS DevOps, with the ability to incorporate Cloudera technologies as needed.
• Adept at identifying and resolving data-related issues across AWS and Cloudera environments, leveraging analytical skills and attention to detail.
• Ability to collaborate effectively with cross-functional teams, including data scientists, analysts, and stakeholders, to deliver comprehensive data solutions spanning both AWS and Cloudera ecosystems.
• Demonstrated commitment to continuous learning and professional development, staying updated on the latest AWS services, Cloudera technologies, and data engineering best practices.