Kaushik Gangireddy

Designing and operating enterprise-grade GCP infrastructure supporting large-scale analytical and data workloads in a multi-cloud environment. 🔹 Built composable Terraform IaC modules for multi-environment GCP deployments, cutting infrastructure provisioning time by 60% and eliminating environment drift. 🔹 Architected and managed GKE clusters with Kubernetes QoS policies, node pool autoscaling, and network policies — achieving 99.98% platform availability. 🔹 Engineered enterprise BigQuery environments with optimized schemas and partitioning strategies, reducing query costs by 40% while maintaining sub-second performance. 🔹 Designed GCP VPC architectures including DNS, firewall rules, VPC peering, and TLS/SSL certificate management with zero-trust network segmentation. 🔹 Built Cloud Composer (Airflow) workflows orchestrating complex ETL pipelines integrating diverse enterprise data sources into the central GCP data platform. 🔹 Developed high-throughput Apache Kafka data ingestion pipelines on GCP, processing millions of events daily with real-time Cloud Monitoring dashboards. 🔹 Implemented GitOps-based CI/CD pipelines using Harness for automated, auditable deployments with automated rollback across the multi-cloud environment. 🔹 Contributed to Azure Compute, Storage, and VNet configurations as part of an active-active GCP + Azure disaster recovery strategy. 🔹 Containerized Java services with Docker, managing Helm chart releases on GKE via GitOps workflows to standardize deployments and eliminate configuration drift. 🔹 Mentored junior engineers on Terraform, GKE, and GCP networking best practices — reducing team onboarding time by 50%.

Architected and managed GCP and Azure cloud infrastructure for a real-time transit operations platform, supporting high-availability microservices and data workloads. 🔹 Provisioned and managed GCP infrastructure using Terraform — Compute Engine, Cloud Storage, VPCs, and DNS — across dev, staging, and production environments with fully automated IaC pipelines. 🔹 Managed GKE clusters for containerized microservices with Kubernetes resource quotas, HPA, and rolling deployment strategies ensuring zero-downtime releases. 🔹 Designed GCP VPC architectures with Cloud DNS, subnet configurations, firewall rules, and TLS certificate management across multiple GCP regions. 🔹 Built Cloud Composer (Airflow) workflows orchestrating real-time transit data ingestion pipelines integrated with BigQuery for analytics and reporting. 🔹 Implemented Kafka + Apache Spark streaming pipelines for real-time transit event processing with comprehensive monitoring and automated alerting. 🔹 Built Jenkins + Harness CI/CD pipelines enforcing GitOps standards, reducing manual deployment errors by 80%. 🔹 Managed Azure Virtual Machines, Storage Accounts, and VNet configurations for active-active DR between GCP and Azure with automated failover. 🔹 Partnered with architecture and application teams to optimize cloud costs, achieving a 35% reduction in monthly GCP spend via rightsizing, committed use discounts, and autoscaling automation.