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DINESH REDDY

SRE at @Acceldata |Hadoop | KAFKA | Apache Pinot |HBASE | HIVE | Ranger|Kerberos| Spark| Zeppelin | KNOX |Hue| DRUID |Ozone | AWS CLOUD| Docker| Linux| Shell scripting | Kubernetes|Git

Andhra Pradesh

6+ years of work experience

Acceldata
Apr 20242 yrs 1 moPresent

Acceldata
Oct 20221 yr 7 mosApr 2024

Bangalore Urban, Karnataka, India

Huawei Technologies India
Dec 20192 yrs 10 mosSep 2022

DINESH’s AI Stack

cursor
cursor
github copilot
github copilot
ollama
ollama
openai
openai

Education

JNTU Anantapur

Bachelor of Technology - BTech, Mechanical Engineering

JNTU Anantapur

20163 yrs2019

Panchajanya English Medium school

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Headline

SRE at @Acceldata |Hadoop | KAFKA | Apache Pinot |HBASE | HIVE | Ranger|Kerberos| Spark| Zeppelin | KNOX |Hue| DRUID |Ozone | AWS CLOUD| Docker| Linux| Shell scripting | Kubernetes|Git

About

As an SRE specializing in Hadoop ecosystems, I am dedicated to ensuring the reliability, scalability, and performance of data-driven infrastructure. I bring a strong background in both Site Reliability Engineering and Big Data technologies, with a focus on optimizing and maintaining large-scale Hadoop clusters, Kafka data flows, and related distributed systems. My expertise includes: Hadoop Cluster Management: Designing, deploying, and optimizing large-scale Hadoop, HDFS, hbase, kafka and Hive clusters to meet the needs of diverse use cases while maintaining high availability and performance. Data Pipeline Optimization: Ensuring the smooth operation of data ingestion, storage, and processing flows with Kafka, NiFi, and related technologies. I am skilled in troubleshooting, optimizing, and automating data pipelines to enhance system reliability and minimize downtime. Reliability Engineering: Implementing and managing automation frameworks, monitoring solutions, and CI/CD pipelines to streamline the deployment process and reduce operational overhead across complex environments. Incident Management & Root Cause Analysis: Leading incident response and performing thorough post-mortems to identify areas for continuous improvement in system performance, uptime, and reliability. Infrastructure Automation: Leveraging tools like Terraform, Ansible, and Kubernetes to manage infrastructure as code, improve system provisioning, and scale environments efficiently.

Location

Andhra Pradesh

AI stack

cursor

github copilot

ollama

openai

Work experience

Site Reliability Engineer at Acceldata, Apr 2024 - Present · 2 yrs 1 mo

Associate Site Reliability Engineer at Acceldata, Oct 2022 - Apr 2024 · 1 yr 7 mos, Bangalore Urban, Karnataka, India

Software Engineer at Huawei Technologies India, Dec 2019 - Sep 2022 · 2 yrs 10 mos

Education

Bachelor of Technology - BTech, Mechanical Engineering, JNTU Anantapur

Panchajanya English Medium school

DINESH REDDY - Site Reliability Engineer in Andhra Pradesh | Tal