Vaibhav Samudrala

As a Multi-Cloud Data Engineer, I am responsible for developing and maintaining scalable applications using Python, SQL, and Scala. I utilize AWS and Google Cloud platforms to deploy and manage cloud-based applications efficiently. my role will include implementing distributed data processing solutions using Hadoop, Hive, and Spark, as well as developing real-time data streaming applications with Kafka and Spark Streaming.

Responsibilities :

• Developed and maintained scalable applications using Python, SQL, and Scala.
• Utilized AWS and Google Cloud for deploying and managing cloud-based applications.
• Implemented distributed data processing solutions using Hadoop, Hive, and Spark.
• Developed real-time data streaming applications using Kafka and Spark Streaming.
• Designed and optimized data warehouses with Redshift and Snowflake.
• Integrated NoSQL databases like MongoDB and Cassandra for high-performance data storage.
• Automated deployment processes and continuous integration using Jenkins and Docker.
• Collaborated with cross-functional teams using Agile methodologies to ensure timely project delivery.
• Developed well-organized training materials for end-users, enabling seamless adoption of new software features.
• Collaborated with cross-functional teams to develop, test, and deploy high-quality software solutions for clients.

Responsibilities:

• Designed and developed backend services and APIs using Java and Python.
• Worked on data ingestion and processing pipelines with EMR and MapReduce.
• Managed cloud infrastructure on Microsoft Azure and AWS, optimizing for performance and cost.
• Implemented NoSQL solutions using MongoDB and Cassandra.
• Developed and maintained data warehouses using Snowflake.
• Utilized UNIX/Linux for server management and automated tasks with shell scripting.
• Participated in Agile ceremonies and contributed to the adoption of best engineering practices.
• Integrated Salesforce solutions, enhancing business process automation and data integration.
• Consistently met project deadlines by effectively managing time and prioritizing tasks according to importance.
• Analyzed proposed technical solutions based on customer requirements.