Google Cloud consulting partner delivering secure, data-driven, and AI-ready platforms.
TechWish helps organizations modernize applications and data platforms on Google Cloud through cloud-native engineering and proven delivery frameworks. We design secure architectures, scalable modernization strategies, and governed data foundations built for resilience and growth. By leveraging Google Cloud services, we reduce migration risk, improve performance, and accelerate analytics and AI adoption.
Our certified cloud architects, data engineers, and AI specialists bring deep Google Cloud expertise supported by a mature operating model. We apply Google's CAMP framework to drive measurable outcomes and maintain alignment to scope, budget, and timelines. With 120+ Google Cloud–skilled professionals across infrastructure, BigQuery, and Vertex AI, we deliver predictable execution at enterprise scale.
TechWish supports organizations across the Google Cloud lifecycle, from strategy and foundation to modernization, data platforms, AI enablement, and continuous optimization.
Establish secure and scalable Google Cloud foundations aligned to governance and cost control. We conduct readiness assessments, design project and IAM structures, and implement zero-trust security with encryption and posture management. FinOps strategies ensure sustainable growth and cost visibility.
Modernize legacy applications using containerized and serverless patterns. We migrate databases to Cloud SQL or AlloyDB and refactor monolithic applications into microservices on Cloud Run or GKE. CI/CD pipelines using Cloud Build and Artifact Registry enable stable and repeatable deployments.
Design governed analytics platforms built for scale. We implement BigQuery architectures, streaming ingestion with Dataflow, and governance using Dataplex. Lakehouse modeling patterns ensure analytics readiness and performance optimization.
Enable advanced AI use cases using Vertex AI and generative AI services. We design RAG architectures, integrate large language models, and deploy monitored MLOps pipelines. Solutions are built for enterprise-grade security and operational control.
Improve workload performance and operational stability across GCP environments. We implement observability using Cloud Monitoring and Logging, conduct performance profiling, and optimize resource utilization. SLA tracking and operational dashboards support continuous improvement.
Drive ongoing cost and efficiency improvements across cloud workloads. We implement governance cycles, right-size resources, and align performance tuning with evolving usage patterns. Continuous optimization ensures long-term scalability and financial discipline.
A repeatable modernization framework that transforms legacy applications into secure, containerized, API-first services on Cloud Run or GKE. Includes CI/CD automation, blue-green deployment patterns, and rollback strategies designed for production stability.
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A metadata-driven data platform framework built on BigQuery, Dataflow, Dataplex, and Cloud Storage. Supports batch and streaming ingestion, enforces governance, and accelerates analytics readiness for enterprise reporting and AI initiatives.
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A prebuilt analytics foundation on Looker with reusable semantic models, standardized KPIs, and role-based dashboards. Designed to accelerate executive reporting and reduce time-to-value across finance, sales, and operations.
Get in touchWe blend innovation and execution to create intelligent, adaptive solutions that power the enterprises of tomorrow—now.
