---
title: "kaushik Kallichetty - Data platform engineer in Bengaluru | Tal"
description: "Meet kaushik Kallichetty, Data Platform Engineer at New Relic | Kubernetes & Terraform Expert | Building Scalable Data Ecosystems based in Bengaluru. AI stack includes llmapi, metaai, and mistral."
image: "https://tal.club/meet/kaushik-6/share-image"
---

# kaushik Kallichetty on Tal

## Headline

Data Platform Engineer at New Relic \| Kubernetes & Terraform Expert \| Building Scalable Data Ecosystems

## About

Experienced Data Platform Engineer in building resilient, scalable data platforms and automated infrastructure solutions\. Currently at New Relic, I architect and implement Kubernetes\-based data ecosystem tools, real\-time ingestion pipelines with Spark, Kafka, and Iceberg, ensuring 100% data accuracy for billion\-dollar revenue operations\. Key Achievements: Built robust S3\-to\-Iceberg ETL pipelines processing millions of customer billing records daily with zero data loss tolerance Led critical billing infrastructure migration initiatives, architecting enterprise data integration connectors with comprehensive checkpoint management Implemented advanced monitoring solutions using New Relic, Datadog, and Prometheus for LLMs, critical workflows, and billing infrastructure Automated AWS resource management via Terraform and deployed Airbyte with custom connectors for enterprise data integration Technical Expertise: Data Platforms: Apache Spark, Kafka, Iceberg, Airflow, Snowflake Infrastructure: Kubernetes, Docker, Terraform, AWS, GCP Monitoring & Observability: New Relic, Datadog, ELK Stack Programming: Python, Bash scripting, SQL DevOps: ArgoCD, Helm, PagerDuty

## Location

Bengaluru

## AI stack

llmapi

metaai

mistral

openclaw

## Work experience

Data platform engineer at New Relic, Aug 2024 \- Present · 1 yr 11 mos, Bengaluru, Karnataka, India, Built and maintained Kubernetes\-based data ecosystem tools and services Developed comprehensive monitoring solutions including New Relic dashboards and alerts for Apache Airflow DAGs Implemented LLM monitoring for digital assistant converting natural language to SQL Architected end\-to\-end NRDB data ingestion pipelines using Apache Spark, Kafka, and Apache Iceberg Built robust S3\-to\-Iceberg ETL pipelines processing millions of customer billing records daily with automatic schema evolution and xxhash64\-based deduplication Led deployment and configuration of Airbyte on Kubernetes using Helm charts, developed custom connectors for Zuora and Marketo Implemented comprehensive data quality frameworks using AWS Deequ for S3 and Snowflake layers Led critical billing infrastructure migration initiative replacing Zuora billing platform with custom FivetranSDK\-based solution

Platform Engineer at FLYR, Feb 2024 \- Aug 2024 · 7 mos, Remote, Automated creation of synthetic API tests and Airflow monitors using Terraform IaC and Datadog Enhanced application functionality monitoring across various client environments Collaborated with technical experts to resolve complex problems and supported adoption of SRE best practices

Platform Engineer at VuNet Systems, May 2021 \- Feb 2024 · 2 yrs 10 mos, Bengaluru, Karnataka, India, Building advanced analytics solution\(AIOPs solution\) that completely breaks down the information and tool silos that exist in IT infrastructure and application operations today\. In a first of its kind, the solution intelligently brings together user experience, APM, IT infrastructure performance and business transaction visibility to seamlessly align IT with business objectives A highly scalable big data platform, with a data agnostic architecture, that can ingest all kinds of structured and unstructured data from an IT infrastructure at a scale of peta bytes of data\. Uses a wide variety of custom built correlation engines, machine learning modules, data enrichment methods and anomaly detection algorithms to provide real time insights into the performance and security of the IT infrastructure\.

Internship Trainee at Amaraja Batteries Limited Mahalaxmi Pla, May 2018 \- Jun 2018 · 2 mos, Tirupati Urban, Andhra Pradesh, India, I was an Internship Trainee, I was assigned to study about the operation of the short battery manufacturing division\. This was the very first time, i was exposed to industry in which i studied about how the operations management techniques are used in real time applications, complete manufacturing process of lead acid battery in which i mostly concentrated on machineries \. As the duration was very little i could not get involved in any projects but this study about the plant enhanced by knowledge over the industries\.

Internship at Ezenith Education, Apr 2018 \- May 2018 · 2 mos, Hyderabad, Telangana, India, "Won GOLD medal for exceptional performance in the internship " Comprehensive automobile development internship by Ezenith Education\. In this internship i worked on assembly and disassemble of Engine and Gearbox of various cars and bikes engine\. I acquired the practical knowledge of how and engine and transmission system works\. I was tutored with a few lectures on present automotive technology and its advancements\.With the knowledge i acquired, I made report on a car that performs way better and has a great specification that includes engine, suspension, braking, catalytic converter etc, than a benchmark vehicle i was given initially\.

## Education

Bachelor of Technology \- BTech, Mechanical Engineering, Amrita Vishwa Vidyapeetham

[View the original profile](https://tal.club/meet/kaushik-6)

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