Highly analytical and process-oriented data analyst with in-depth knowledge of database types; research methodologies; and big data capture, curation, manipulation and visualization. Furnish insights, analytics and business intelligence used to advance opportunity identification, process reengineering and corporate growth
Practise the Big data environment setup, big data modelling, architect considering the data growth, cluster availability, monitored performance of other resources in Hadoop ecosystem. Manage multi node cluster at cloud . Data are Extracted and Transforms and Loaded (ETL Sqoop) into HDFS system . Other resourcing like YARN are equipped for monitoring the Clusters. Resources like MapReduce used for large dataset environment. Practice ML with history records in R language for generating future forecast. Other technologies like Mongo are practice.
Demonstrate the ability to actively listen to customers and show empathy to the customer’s business impact when they experience issues with our products
Participate in the queue management and coordination process by owning customer escalations, managing the unassigned queue and assigning cases to COEs
Be involved with and work on other support related activities
Triage, diagnose and escalate customer inquiries when applicable during their engineering and operations efforts
Collaborate and share solutions with both customers and Clouderans
Investigate product related issues both for particular customers and for common trends that may arise
Study and understand critical system components and large cluster operations
Differentiate between issues that arise in operations, user code, third party libraries or product
Coordinate enhancement and feature requests with product management and Cloudera engineering
Participate in occasional weekend on-call roster for critical support needs
Participate as a designated or dedicated engineer for specific customers. Aspects of this engagement translates to building long term successful relationships with customers, leading weekly status calls, and occasional visits to customer sites
Maintained automated ETL for reporting.
implemented Data mining and machine learning algorithms to describe and predict user.
increase in conversion. Skills Used Data Cleansing and Data Analysis using Python, Scala, and Spark.
Modelling database design
Updating and amending existing databas
Results oriented self starter that focuses on getting the job done.
Highly customer focused and driven to seeing their customer’s success