Rajkiran K.

Senior Bigdata developer with Spark

Happy Day. My name is Rajkiran K. Over 11+ years of comprehensive hands-on Big Data Capacity with Hadoop Eco System access internal and cloud-based platforms. I like to go into customer or client problems and make an effort to use cutting-edge technology stacks to solve them. The programming approach is mostly focused on scalable, effective, and efficient solutions. I frequently contribute to the application's effective setup and layout. I adore taking on challenging jobs combining big data and cloud computing technology. Proficiency with the Hadoop architecture, including its different parts (Hive, Pig, Sqoop, HDFS, MapReduce, Spark, Impala, and HBase), as well as cloud computing. Amazon Web Services - My area of expertise is Amazon Web Services (AWS). Regardless of whether your project calls for end-to-end solutions with a seamless effort, a highly scalable, exceptionally cost-effective strategy, and a long-term sustainable project, architecture, development, engineering, or building. I can assist in your success. I've worked with EC2, ECR, ECS, AWS Frigate, RDS, AWS S3, AWS Glue, AWS EMR, EKS, DMS, Lambda, IAM, VPC, Direct Connect, Route54, CloudWatch, Redshift, Athena, Redshift Spectrum, Kinesis, Amazon Segamaker, and other AWS services. Confluent Kafka - As part of real-time data processing, I have also worked on Confluent Cloud services, constructing Kafka topics using ACL, Schema Registry, KSQL, and Kafka Connect services, as well as building producer & consumer tasks using Python and Pyspark Structure Streaming Solutions. Having extensive expertise creating pipelines for real-time and batch processing solutions using tools like Pyspark, Scala with Spark, Apache Kafka, Confluent Kafka, etc. Project Management - I've used tools like Trello, Monday, Jira, Confluence, etc. CI/CD Pipeline - I have a decent amount of expertise using Docker, Kubernetes, Terraform, Jenkins, Github, BitBucket, etc.

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  • Databricks Platform
  • Apache Hadoop
  • SQL
  • Python
  • PySpark
  • AWS Glue
  • Amazon ECS
  • Scala
  • Big Data
  • ETL Pipeline