Amit Kadam

Background

About Amit Kadam

Produce clear and detailed Big data roadmaps to customers including architecture design, Use case definitionsDesign and build big data solutions that produce faster time-to-value, with clear architectural blue prints for the long termBuilding Big Data applications and solutions based on Hadoop, Spark, Kafka, NoSQL and other leading platformsExperience in performance optimization of spark jobs, Adaptive execution in Spark 3Perform Data Science assessmentsPerformed capacity planning, optimization and improved stability of Hadoop services with petabytes of scaleBuilding Proof of Concepts and linking those insights to current business challenges Provide Hadoop Platform support administration, monitoring, and support – including configuration and management of Big Data platform servicesHelping customer to improve insight into consumer behavioral data and faster adoption of analytic as a competitive weaponHave Solid experience in Hadoop Platform and Application performance management Have done big data implementation using Hortonworks Data Platform and Cloudera Private CloudIntegrating Teradata Vantage with Many Azure First-Party Services like ADF, Azure Databricks, Azure ML, Power BI and Data sharing with Azure Data Share and AWS Data ExchangeVery good knowledge on data fabric and data mesh architecturesHave worked with Power BI, Qlikview, Tableau, SAP DashboardsDWBI Tools - SAP BI 4.1, Microstrategy, Data Stage, SAP Data Services, PentahoText Analytics, Natural language processing, R text mining framework, Latent Semantic Analysis, Sqoop, Tez, Hive, HBase, Mapreduce, Pig, lucene Solr, Spark, YARN, Ambari, webHDFS, Hue, Oozie, Elastic Search,logstash,Marvel, Kibana,Elastic search HQ, Scala, Python, Java, Pentaho Mapreduce,Storm, Zeppelin