---
title: "DINESH REDDY - Site Reliability Engineer in Andhra Pradesh | Tal"
description: "Meet 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 based in Andhra Pradesh. AI stack includes cursor, github copilot, and ollama."
image: "https://tal.club/meet/dinesh-reddy/share-image"
---

# DINESH REDDY on Tal

## 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

[View the original profile](https://tal.club/meet/dinesh-reddy)

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