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Shahid Haider

Shahid Haider

Senior Platform Engineer

Bengaluru, KA 560043
85
Profile Score

About

Senior Platform Engineer with 5+ years of experience in designing, securing, and operating enterprise cloud platforms on Microsoft Azure and Google Cloud Platform (GCP). Strong expertise in Azure Landing Zones, Terraform (IaC), Kubernetes (AKS), Databricks, CI/CD, DevOps, DataOps, MLOps, cloud security, networking, and FinOps. Proven ability to deliver scalable, secure, and cost-optimized cloud architectures supporting analytics, AI/ML, and data platforms. Experienced in cross-functional collaboration with engineering, security, finance, and leadership teams.

Skills & Expertise (39)

Microsoft Azure Expert
9.1/10
5
Years Exp
Terraform Advanced
8.8/10
5
Years Exp
Kubernetes (AKS) Advanced
8.7/10
5
Years Exp
Azure DevOps Advanced
8.4/10
5
Years Exp
Google Cloud Platform (GCP) Intermediate
7.6/10
2
Years Exp
AWS Intermediate
6.4/10
1
Years Exp
RBAC n8n Private Endpoints NSGs Azure Firewall VNet Peering VPN Gateway UDRs Hub-and-Spoke Architecture Cost Optimization Reservations Right-Sizing Budget Planning Azure functions Logic Apps Webhooks Power BI ARM Templates Git Docker VM Scale Sets Azure Databricks Unity Catalog Azure Data Factory BigQuery Azure Policy Microsoft Fabric Azure OpenAI Azure AI Foundry Databricks Genie Datadog Azure Monitor REST APIs

Work Experience

Senior Platform Engineer

Landmark Group

Mar 2021 - Present

Architected and operated enterprise-scale Azure cloud platforms for analytics, data, and AI workloads, supporting multiple business units with high availability, security, and cost governance. Created reusable Terraform modules for Azure Landing Zone components, including data analytics resources like Databricks, Datafactory, Aks, Data lake including Vnet integration with complete Private network. Built fully private, network-isolated cloud architectures using Private Endpoints, Azure Private Link, Azure Firewall, NSGs, UDRs, and VNet peering, eliminating public exposure for Databricks, Storage, Key Vault, Azure OpenAI, and AKS control planes. Implemented enterprise-grade identity and access architecture across Azure, Databricks Unity Catalog, and AKS using Azure AD, managed identities, service principals, and least-privilege RBAC, enabling auditable and compliant access to data, compute, and AI workloads. Designed AI automation and governance workflows for Azure OpenAI, Azure AI Foundry, and Databricks Genie, integrating Datadog, REST APIs, and automation pipelines to provide end-to-end AI observability, usage, latency, and cost visibility, model and prompt governance. Built AI-driven automation workflows using n8n and Azure Functions, including Microsoft Teams AI bots integrated with Databricks and SharePoint, event-driven ingestion and AI-triggered analytics pipelines, automated incident notifications and remediation actions. Standardized DataOps and MLOps infrastructure using Terraform, implementing reusable modules for Azure Databricks & Unity Catalog governance, environment parity across dev/test/prod, automated disaster recovery and backup strategies. Designed and maintained CI/CD platforms for cloud-native workloads, including AKS-based microservices with image builds, vulnerability scanning, automated rollbacks, and health checks, Databricks Asset Bundles, Azure Data Factory (ARM-based deployments), Azure Functions and Django-based ML APIs. Led Azure region migration from South India to Central India using Terraform with full configuration parity, achieving near-zero downtime and improved latency for downstream consumers. Cloud Data Platform (CDP) on Azure Databricks using Bronze–Silver–Gold architecture, private networking, governed access, observability, and automated DR, supporting large-scale analytics workloads. Implemented FinOps-driven architecture decisions, resulting in 24% reduction in compute costs through VM and Databricks DBU reservations, 40% reduction in storage costs using lifecycle policies and tiering, predictable monthly cloud spend through budget forecasting and alerts. Designed cross-cloud data and analytics pipelines integrating Google Analytics, GCP BigQuery, Azure Databricks, and Power BI / Microsoft Fabric for unified reporting. Established enterprise DevOps foundations, creating Azure DevOps project structures, Git strategies, self-hosted agents on VM Scale Sets, and standardized CI/CD templates. Implemented platform-wide observability and alerting, integrating Databricks job metrics, Azure Monitor, REST APIs, and Microsoft Teams, reducing incident response time and improving platform reliability. Partnered with Microsoft FastTrack to validate and refine enterprise Azure architecture, including networking, governance, security, and cost management best practices. Owned FY25 cloud budget planning and architectural cost decisions, translating technical designs into financial forecasts for leadership and finance teams.

Intern – Cloud & Infrastructure

Softway Solutions

Aug 2020 - Nov 2020

Assisted in designing secure cloud network architectures with subnets, NACLs, NAT gateways, and security groups. Built observability solutions using AWS CloudWatch, including dashboards, custom metrics, and alerts. Earned AWS Certified Solutions Architect – Associate certification.

Education

Post Graduate Diploma – Computer Applications - Dr. C.V. Raman University

2016 - 2017 · Afghanistan

Bachelor of Engineering – Mechanical Engineering - Rungta College of Engineering and Technology

2008 - 2012 · Afghanistan

Certifications

HashiCorp Certified Terraform Associate (003)

· 2024

Microsoft Certified Azure Data Engineer Associate

· 2022

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceMar 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation

Skills (39)

Microsoft Azure Terraform Kubernetes (AKS) Azure DevOps Google Cloud Platform (GCP) AWS RBAC n8n Private Endpoints NSGs +29 more