Kumar (RID : g8qolgbrr9oa)

Data Engineer

Location : Chennai, India,

Experience : 7.5 Year

Rate: $15 / Hourly

Availability : Immediate

Work From : Offsite

Category : Information Technology & Services

Shortlisted : 4

Total Views : 86

Key Skills

Python SQL Spark Selenium JAVA Kafka

Discription

CAREER OBJECTIVE:

Contribute resourcefully by being part of a progressive team having an inspiring work ambience and there by getting an opportunity to work with talented professionals.

Executive Summary

Experience in Big data and Hadoop Ecosystems (development).
Experience in Cloudera as Hadoop Developer.
Worked in several Hadoop ecosystems like Spark, Hive, Hdfs, Sqoop,MapReduce
Experience in data Ingestion tools like SQOOP.
Excellent interpersonal and communication skills, creative, research-minded, technically competent and result oriented with Problem solving and leadership skills.
Experience in Azure services like Azure Logic Apps and Azure Databricks, Azure Datalake.
Completed certification on Apache Spark Streaming 3 with Scala on Udemy.
Completed certification on Apache Spark 3 with Scala on Udemy.
Excellent debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems.
Excellent knowledge in Automation using JAVA and Selenium.

Skills on Big Data & Hadoop Eco-Systems(Development)

Good understanding of HDFS and MapReduce concepts with Architecture.
Good understanding of Data Ingestion Tools like Spark.
Good knowledge and Hands on experience with Hadoop Eco Systems like Hive, Sqoop, Spark.
Good knowledge and Hands on experience with Spark(Also Streaming).

POC in Hadoop’s Advanced components

Fetching data from server in real time and placing it in Kafka.
Exported data from Kafka to Hdfs.

Asset Management Warehousing Hadoop

Created Hive Warehouse tables using Hive.
Joining large datasets using Spark/Hive
Transformed the data using Spark/Hive.
Joined various hive tables using Hive and generated output table in Hive.

Key Skills / Area of Expertise

Excellent knowledge of Hadoop components( HDFS)
Excellent knowledge of data ingestion tools Sqoop.
Excellent concept Spark and Hive for Transformations.
Good knowledge of Advanced tools Kafka, Spark.
UNIXSHELL SCRIPTING

Trainings attended

Undergone Big Data and Hadoop Ecosystems training at Cognizant.
Undergone Apache Spark 3 training at Cognizant.
Undergone Apache Spark Streaming training at Cognizant.
Undergone training in Scala at Cognizant.
Undergone training in Databricks at Mindtree.

PROFESSIONAL EXPERIENCE:

Web Tech Squad, Bangalore (29th November 2021-Till Date)

Designation: Senior Data Engineer(Data Engineering)

Mindtree, Bangalore (16th March 2021-26th November 2021)

Designation: Azure Data Engineer (Module Lead)

Cognizant, Chennai (20th May 2019-12th March-2021)

Designation: Hadoop Developer (Associate)

Infosys Limited, Bhubaneswar, India

Designation: Systems Engineer (9th May 2015 –10th May 2019)

PROJECT PROFILE

Project : Data Migration and Data Validation

Duration : November 2021 to till date

Employer : Web Tech Squad, Bangalore.

PROJECT DESCRIPTION

Project is about migrating data from Oracle to Hadoop ecosystem by using Spark and Hive.

ROLES AND RESPONSIBILITIES IN THE PROJECT

Importing data from Oracle and then doing validation of the data.
Applying Business logic using Spark SQL with the help of programming language Python.
Creating managed table and store all transformed data in Functional layer.
Have scheduled the jobs and monitoring the jobs using Databricks jobs .
Pointing existing Tableau dashboards to Datalake to get data from the table.
Monitoring logs of all the services in Kibana and for Kafka topic monitoring in Grafana.
Creating document of all the services used in the project for Knowledge transfer.

PROJECT PROFILE

Project : Data processing and validation</

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