Prasanth Kottarattil

Background

About Prasanth Kottarattil

15 + years overall IT experienced Bigdata Engineer possessing a proven track record of managing Big Data transformations & spearheading Hadoop platform and developer teams. Proficient in liaising with key customers & stakeholders to develop, manage, upgrade, and optimize different analytical solutions. Highly skilled in initiating automation, managing systems operations & implementing measures to efficiently execute projects • SME for Data platform and Analytical Eco systems • Providing Bigdata consulting and expertise to teams across Data analytical platforms. • Have the track record of leading the Analytical transformations to Cloud. • Lead/SME level experience with on-premises and Cloud based applications. • Providing architectural Solutions for Cloud Initiatives. Technologies and tools. Platform Engineering • Cloudera Data Platform (CDP) • Data Lake on AWS S3 • Provide Engineering Supports to HDFS, Spark, Hive, Impala etc. • Spark on Kubernetes: AWS EKS and Rancher Kubernetes • Jupyter interactive on CaaS for Data science workloads. • Managing and developing CICD pipelines using CloudBees Jenkins • Build the Cloud instances with HashiCorp Terraform • Docker and image management. • Performance tuning for Spark applications. • Cloudera & Hortonworks distributions (CDH and CDP). • Object Storages (On-Prem and AWS S3) • Dremio as Datalake Engine (SQL, JDBC, Arrow Flight) • DevOps with CICD (Jenkins, Git, Artifactory) • Automatons with Ansible, Python, Shell scripting etc. • Linux servers Physical & VMware. • Data migrations from HDFS to On-premises and Cloud storages • Monitoring Tools: Grafana,Splunk, Data Dog, CloudWatch, Cloudtrail • Admin level experience with Confluence Kafka • Lake House Implementation - Study phase. • Project management with Agile and Waterfall • Reporting Tools: PowerBI • Experience with SAN and NAS