---
title: "Sai pavan kumar Machireddy - Cloud Operations Engineer in Hyderabad | Tal"
description: "Meet Sai pavan kumar Machireddy, GCP DevOps Engineer @Quantium (Woolworths Group) | Google Cloud Certified | Vertex AI · Airflow · BigQuery · CI/CD | SRE based in Hyderabad."
image: "https://tal.club/meet/sai-pavan-kumar/share-image"
---

# Sai pavan kumar Machireddy on Tal

## Headline

GCP DevOps Engineer @Quantium \(Woolworths Group\) \| Google Cloud Certified \| Vertex AI · Airflow · BigQuery · CI/CD \| SRE

## About

I run production operations on one of Australia's largest retail data platforms the Woolworths Group analytics estate at Quantium \(WIQ\)\. Day to day that means GCP at serious scale: BigQuery, GKE, Cloud Run, Apache Airflow, Terraform, and Splunk\-based observability, supporting 20\+ engineering pods\. Some work I'm proud of: • Owned the monthly Supplier Connect pipeline \(a LangGraph\-based AI analytics platform\) end to end across 5 consecutive releases with zero failures • Traced a production failure that had sat open for 6 months \(ESC BILL PROD\) to root cause in a single cycle no ops\-side code changes needed • Cleared 119 high\-severity Snyk findings across production repos in one org\-wide remediation drive • Built failure playbooks for GKE, Cloud SQL, Airflow, Argo Workflows, and APIGEE that the whole team now runs on • Trained 3 engineers and maintain onboarding documentation for a 20\-member team Before Quantium, I spent two and a half years at TCS building CI/CD pipelines with Jenkins, Docker, and Kubernetes for a Linux compiler toolchain\. Certifications: Google Cloud Professional DevOps Engineer \(renewed May 2026\) · Astronomer Apache Airflow 3 Fundamentals · Microsoft Azure AZ\-900 Open to Senior DevOps, Site Reliability Engineer \(SRE\), Platform Engineer, and Cloud Engineer roles on GCP\. Core stack: GCP · Google Cloud Platform · Kubernetes · GKE · Docker · Terraform · Infrastructure as Code · CI/CD · Jenkins · GitHub Actions · ArgoCD · Apache Airflow · Argo Workflows · BigQuery · Cloud Run · Cloud SQL · Vertex AI · Splunk · Python · Bash · Incident Management · ServiceNow · SRE

## Location

Hyderabad

## Work experience

Cloud Operations Engineer at Quantium, Jan 2024 \- Present · 2 yrs 7 mos, Hyderabad, Telangana, India, Production operations and reliability engineering for the Woolworths Group retail analytics estate on GCP grocery, e\-commerce, and supply chain\. • Own the monthly Supplier Connect pipeline end to end: BigQuery data loads, Airflow DAG orchestration, Tableau dashboard delivery, and GCS outbound distribution\. 5 consecutive releases, zero failures\. Automated vendor validations in Python, eliminating manual errors on live dashboards\. • First\-touch incident triage across 20\+ dev pods\. Built failure playbooks for GKE, Cloud SQL, Airflow, Argo Workflows, and APIGEE, adopted team\-wide\. • Root\-caused a 6\-month\-open production failure \(ESC BILL PROD\) in one cycle with zero ops\-side code changes\. • Cleared 119 high\-severity Snyk findings across production repositories in a single org\-wide remediation drive\. • Operate platforms spanning E2E Cost\-to\-Serve \(petabyte\-scale cost analytics\), Walk Path Optimisation \(GKE \+ Argo Workflows\), DCX Intraday AI \(Vertex AI multi\-agent platform across 15 distribution centres\), and Demand Shaping \(real\-time delivery window optimisation\)\. • Trained 3 engineers, resolved 15\+ knowledge\-transfer issues, maintain onboarding docs for a 20\-member team\. Stack: BigQuery, GKE, Cloud Run, Cloud SQL, Vertex AI, Apache Airflow 3, Argo Workflows, Terraform, Docker, Kubernetes, Splunk, Python, ServiceNow

DevOps Engineer at Tata Consultancy Services, Jul 2023 \- Feb 2024 · 8 mos, Hyderabad, Telangana, India, Create and maintain CICD pipelines using Jenkins,Docker,GIT,Bash\. Worked for telecom client for building command line tools\. Involved in design, documentation and development phase and throughout life cycle of applications\. These tools comprise cross compilers, simulators to visualize real time application environments, application deployment tools on target environments\. Tested troubleshooting methods, devised innovative solutions and documented resolutions for inclusion in knowledge base for support team use\. Authored code fixes and enhancements for inclusion in future code releases and patches\. With the grace of God and my strong performance in machine learning and AI technologies, I am delighted to announce my promotion to System Engineer at TCS\. As a Digital Associate, I bring my technical expertise and proficiency in machine learning and AI to drive exceptional results, optimize system performance, and enhance operational efficiency\. I am excited to embrace this new challenge and continue making impactful contributions in the field of systems engineering\.

Assistant System Engineering at Tata Consultancy Services, Aug 2021 \- Jul 2023 · 2 yrs, Hyderabad, Telangana, India

Machine Learning Intern at Blackbuck, Apr 2021 \- Jun 2021 · 3 mos, Hyderabad, Telangana, India, Guided on Machine Learning projects\.

Data Science & Analytics at The Sparks Foundation, Aug 2020 \- Sep 2020 · 2 mos

Ambassador at Blackbuck, Jul 2020 \- Mar 2021 · 9 mos, Hyderabad, Telangana, India

Data Analyst at The Shaadi Times, May 2020 \- Jun 2020 · 2 mos, Delhi, India, DATA ANALYSIS ON AIR POLLUTION

## Education

Bachelor of Technology, Computer Science, SRKR Engineering College

[View the original profile](https://tal.club/meet/sai-pavan-kumar)

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