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Jagadeesh Talari

Site Reliability Engineer (Bigdata) at Acceldata || Ex-Amazon Web Services (AWS) || Ex-Paytm

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About

Jagadeesh Talari is a Site Reliability Engineer (Bigdata) with over 7 years of experience in Hadoop Clusters installation, configuration, support, and management using various distributions like Apache, Hortonworks, EMR, and Cloudera. He is currently working at Acceldata and has previously worked at Amazon Web Services (AWS) and Paytm. Jagadeesh has a strong background in Hadoop Cluster capacity planning, performance tuning, cluster monitoring, and troubleshooting. He has expertise in analyzing log files for Hadoop and eco-system services and finding the root cause of any issues. He is also skilled in designing, configuring, and managing the backup and disaster recovery for Hadoop data. As an admin, Jagadeesh has been involved in cluster maintenance, troubleshooting, monitoring, and following proper backup and recovery strategies. He has experience in HDFS data storage and support for running map-reduce jobs. He has also worked on other AWS cloud services like EMR, DynamoDB, RDS, EC2, IAM, S3, Athena, Glue, etc. Apart from his work, Jagadeesh is a freelance Hadoop trainer and has excellent interpersonal and communication skills. He is creative, research-minded, technically competent, and result-oriented with problem-solving and leadership skills. Jagadeesh holds a Bachelor of Technology degree in Electrical and Electronics Engineering from JNTU. His technical skills include SRE, AWS, Hadoop, Web, Amazon Athena, SQL, HDFS, Big Data, Sagemaker, Research Scientist, Spark, test, Software Engineer, and Apache Hive. With a relevant experience of 8.36 years, Jagadeesh is a valuable addition to any organization.

Education

jawaharlal nehru technological university

Companies

acceldata

amazon

paytm

flytxt

ust

Experience

9.8 Years

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Experience

Site Reliability Engineer

acceldata | Bangalore Urban, Karnataka, India

2021 - Present

Cloud Support Engineer (Bigdata)

amazon | Bengaluru Area, India

2020 - 2021

Senior Software Engineer

paytm | Noida

2019 - 2020

Senior Hadoop engineer

flytxt | Thiruvananthapuram Area, India

2017 - 2019

System Engineer

ust | Bangalore

2014 - 2017

Skills

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Administrative

Amazon Athena

Amazon Elastic MapReduce (EMR)

Amazon Relational Database Service (RDS)

Amazon S3

Amazon Web Services (AWS)

apache

Apache Spark

Big Data

Communication

customer satisfaction

Debugging

Design

disaster recovery

Hadoop

HDFS

Identity & Access Management (IAM)

Leadership

performance tuning

Problem solving

Research

Research Scientist

Sagemaker

Software Engineer

SRE

storage

test

Troubleshooting

Web

Web Services

Contact Details

Email (Verified)

talXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX02

Education

jawaharlal nehru technological university

Bachelor of Technology - BTech

2009 - 2013

Frequently asked questions

What company does Jagadeesh Talari work for?

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Jagadeesh Talari works for acceldata

What is Jagadeesh Talari role in his workplace?

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Jagadeesh Talari's role in his workplace is Site Reliability Engineer

What is Jagadeesh Talari's tenure in his workplace?

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Jagadeesh Talari's tenure in his workplace is 3.42 years

What is Jagadeesh Talari's total experience?

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Jagadeesh Talari's total experience is 9.83 years

What is Jagadeesh Talari's LinkedIn profile?

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Jagadeesh Talari's LinkedIn profile can be found here

What is Jagadeesh Talari's email address?

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Jagadeesh Talari's email address is talXXXXXXXXXXXXXXXXom. Unlock here

What is Jagadeesh Talari's phone/WhatsApp number?

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Jagadeesh Talari's phone number is +91XXXXXXXX02. Unlock here

What schools did Jagadeesh Talari attend?

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Jagadeesh Talari has attended jawaharlal nehru technological university

What companies has Jagadeesh Talari worked with?

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Jagadeesh Talari has worked with acceldata, amazon, paytm, flytxt, ust

What are some of Jagadeesh Talari's skills?

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Jagadeesh Talari has skills in Administrative, Amazon Athena, Amazon Elastic MapReduce (EMR), Amazon Relational Database Service (RDS), Amazon S3, Amazon Web Services (AWS) and more.

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