Krishnakanth B Email & Phone Number

 I have 4+ years of experience in IT, specializing in technologies such as Azure Databricks, Azure Data Factory (ADF), Azure Data Lake (ADLS Gen2), Azure Delta Lake, Azure Synapse Dedicated SQL Pool, as well as proficiency in Spark, Scala, Python, SQL, and SSIS. Proficient in Data Modeling concepts including Star-Schema Modeling, Snowflake Schema Modeling, and designing Fact and Dimension Tables. Strong analytical, problem-solving, and interpersonal skills with a quick grasp of new concepts. A collaborative team player with excellent communication abilities. Expertise in utilizing Hadoop infrastructures like MapReduce, Pig, Hive, HBase, and Spark for data storage and analysis. Hands-on experience across multiple cloud platforms including AWS, GCP, and sql. Skilled in managing Hadoop clusters and services using Cloudera Manager. Proficient in generating statistics and reports within Hadoop environments. Extensive use of Spark Scala APIs for developing data pipelines. Experienced in querying with Impala and utilizing BI tools for ad-hoc queries directly on Hadoop. Background in designing and testing highly scalable, mission-critical systems, including Spark jobs in Scala and PySpark, and Kafka. Designed scalable and automated infrastructure, Active contributor to open source projects. DevOps expert with recent work on Terraform, Docker, etc. Experienced on working with Docker for creating images that are deployed on AWS as Microservices and Experienced on managing the local deployments in Kubernetes and creating local cluster and deploying application containers.  Good experience working with container orchestration tools Jenkins, Kubernetes Extensive experience in generating statistics and reports from Hadoop. Proficient in various phases of the Software Development Life Cycle (SDLC), utilizing Agile/Scrum methodologies and other best practices, with a focus on ensuring the delivery of high-quality software. Skilled in writing Spark Jobs for data cleansing and transformations. Expertise in ETL methodology, including Data Profiling, Data Migration, Extraction, Transformation, and Loading using Talend, and designing data workflows. Familiarity with Amazon AWS services such as EMR, EC2, S3, Lambda, and Redshift, facilitating efficient processing of Big Data.

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  Wilmington University

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