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Chandresh Ghodasara
Cloud Solution Architect
About
Chandresh Ghodasara is a highly experienced Solutions Architect with over 10 years of relevant experience in big data, cloud, machine learning, and deep learning. He is currently working as an Associate Director - Solution Architect Bigdata Cloud at UBS. Chandresh has a strong technical background and is proficient in various big data technologies such as HDFS, Spark, ML, Azure, Hadoop, Apache Hive, Databricks, Kafka, ETL, MapReduce, MySQL, SQL, NoSQL, and Integration. He also has extensive experience in Java technologies such as Struts, Hibernate, Servlets, and JSP. Chandresh has worked on different Hadoop technologies like Pig, Hive, MapReduce, Sqoop, Spark, Kafka, Flume, etc. He is skilled in implementing and enhancing Pig Latin scripts, creating Hive tables, and loading data in HDFS. He has also designed an aggregation layer for reporting and developed Map-Reduce jobs for loading data in HDFS. Chandresh has worked on JDBC connectivity to various databases like Hive, Oracle, Sybase, and MySQL. He has also automated the creation of Informatica mappings Xmls through Java using powermart.dtd and XML parsing. Apart from his technical expertise, Chandresh is also skilled in project management. He has worked from start to finish on development as well as enhancement of various project modules covering the whole life cycle from initial impact analysis, development, unit testing, pre and post-deployment support. He is well-versed in understanding the process management cycle and being compliant with organizational policies. Chandresh has a Master's degree in Technology from the College of Engineering and a Bachelor's degree in Engineering from Government Engineering College, Surat. He is also skilled in Spring, DevOps, Mobile, Web, Infra, and has experience as a product manager. Overall, Chandresh is a highly skilled Solutions Architect with a strong technical background and extensive experience in big data technologies. He is a valuable asset to any organization looking to leverage big data and cloud technologies to gain insights and improve business operations.
Education Overview
• coep technological university
Companies Overview
• confidential
• maersk
• lt
• datametica
• cognizant
Experience Overview
12.8 Years
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