Sahil Agnihotri is a Microsoft Certified Data Engineer with 4.5+ years of professional experience in the field of Data Engineering with strong technical background on Big Data platform and having sound knowledge of Cloud Engineering and Artificial Intelligence (AI). He had designed and developed high performance reusable big data pipelines with focus on collecting, storing, processing, analysing and consuming huge sets of data from multiple sources, automate tasks to reduce the manual efforts, code review to match the coding standards in a dynamic changing environment. He had worked in multiple domains like Banking Financial Services, Supply Chain, Retail-E commerce, Technology Media and Telecommunications with multiple clients and techies located globally across India, UK, Czech Republic, Germany, Canada, USA and Australia. He is passionate about technology and current trends, flexible and willing to adapt changing requirements. He is Skilled in : Cloud Technologies: Microsoft Azure, Qubole Data Services. Big Data Ecosystem: Hadoop, SparkSql, PySpark, Hive, HDFS, Oozie, Kafka, Sqoop, Yarn. Languages: Python, Scala, Shell Scripting, Pig Latin. Tools: Git, Maven, Service Now, JIRA, Eclipse, Ambari, Jenkins, CyberArc, Putty, WinScp, Postman, FileZilla. Software development Methodology: Agile/Scrum Methodology. Databases: MySQL, HBase.
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