Rajkumar G Email & Phone Number

Over 10 years of extensive experience in data engineering, with proficiency in a wide range of cloud platforms including GCP, AWS, and Azure.• Expertise in designing and implementing Data pipelines using GCP Big Query, AWS Redshift, and Azure Data Lake to support real-time and batch processing of large datasets.• Skilled in utilizing cloud storage solutions such as GCS Bucket, AWS S3, and Azure Blob Storage for efficient data storage and retrieval.• Proficient in data preparation and transformation using tools like GCP Data prep, AWS Glue, and Azure Data Factory to cleanse and enrich raw data.• Experienced in leveraging GCP Databricks, AWS Data Pipeline, and Azure Data Lake Analytics for advanced analytics and machine learning tasks.• Strong knowledge of serverless computing with G-Cloud Functions, AWS Lambda, and Azure Functions for event-driven data processing.• Skilled in developing custom data processing pipelines using Apache Beam and Spark for distributed computing on cloud platforms.• Hands-on experience with GCP Cloud Dataflow, AWS EMR, and Azure HDInsight for scalable data processing and analytics.• Proficient in managing cloud environments using Cloud Shell, AWS CLI, and Azure CLI for seamless development and deployment.• Expertise in database administration with Cloud SQL, AWS RDS, and Azure SQL Database for managing relational databases on cloud platforms.• Skilled in working with various database technologies including MySQL, PostgreSQL, SQL Server, Oracle, and Cosmos DB.• Experienced in programming languages such as Python, Scala, and SQL for data manipulation, analysis, and scripting tasks.• Proficient in data visualization using tools like Tableau, Power BI, and MS Visio to communicate insights and findings effectively.• Strong knowledge of data integration tools including Talend, Informatica, and DataStage for seamless data movement across systems.• Experienced in managing and orchestrating data workflows using tools like Oozie, Control-M, and Azure Data Factory for automated data processing.• Skilled in containerization and orchestration with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for scalable deployment of data applications.• Proficient in version control and collaboration tools such as Git, Azure DevOps, and Jira for efficiently managing codebase and project tasks.• Strong problem-solving and troubleshooting skills with experience in Shell Scripting, Linux, and Windows environments for resolving data engineering challenges effectively.

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  Cmr College Of Engineering & Technology

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