geethu kannan

7 years of experience in IT industry, including big data environment, Hadoop ecosystem, Java and Design, Developing, Maintenance of various applications.
Hands on experience in Hadoop ecosystem including Spark, Kafka, HBase, Scala, Pig, Hive, Sqoop, Oozie, Flume, Storm, big data technologies.

• 7+ years of experience in IT industry, including big data environment, Hadoop ecosystem, Java and Design, Developing, Maintenance of various applications. 
• Good Knowledge in Amazon Web Service (AWS) concepts like EMR and EC2 web services which provides fast and efficient processing of Big Data Analytics. 
• Excellent working knowledge of Azure cloud and its components like Azure Data Factory, Azure data lake storage, and Azure databricks.
• Expertise in Big Data architecture like Hadoop (Azure, Hortonworks, Cloudera) distributed system, MongoDB, NoSQL 
• Development of spark-based application to load streaming data with low latency, using Kafka and Pyspark programming. 
• Hands on experience on Hadoop /Big Data related technology experience in Storage, Querying, Processing, and analysis of data.
• Skilled in building data pipelines in NiFi.
• Hands on experience in Hadoop ecosystem including Spark, Kafka, HBase, Scala, Pig, Hive, Sqoop, Oozie, Flume, Storm, big data technologies. 
• Worked on Spark, Spark Streaming and using Core SparkAPI to explore Spark features to build data pipelines. 
• Experienced in working with different scripting technologies like Python, UNIX shell scripts. 
• Experienced in using Kubernetes to setup the deployment, scaling and management of Docker containers.
• Worked with OpenShift Container Platforms for Docker and Kubernetes.
• Strong experience in migrating other databases to Snowflake
• Good Knowledge in Amazon Web Service (AWS) concepts like EMR and EC2 web services successfully loaded files to HDFS from Oracle, SQL Server, Teradata and Netezza using Sqoop. 
• Excellent Knowledge in understanding Big Data infrastructure, distributed file systems -HDFS, parallel processing - MapReduce framework. 
• Extensive knowledge in working with IDE Tools such as My Eclipse, IntelliJ
• Excellent knowledge in Amazon EMR and spark, 
• Strong experience and knowledge of NoSQL databases such as MongoDB and Cassandra. 
• Experience in working with different data sources like Flat files, XML files and Databases. 

• Post Graduate Certification Programme                                                                                         Canada           

Artificial Intelligence Analysis, Design, and Implementation                                         Sep 2021 – April 2022

Durham College, Oshawa, Ontario, Canada

GPA:4.83/5.0 - Enrolled in College Honour Roll