Combining deep data-engineering expertise with proven consulting rigor to design, build, and manage Google cloud solutions that scale and deliver.

Elastic, secure cloud foundations from day one
We automate landing-zone deployment, wire in policy-as-code guardrails, and migrate legacy workloads onto scalable Compute Engine, GKE, and Cloud Run footprints delivering elastic capacity, zero-touch patching, and built-in compliance from day one.
Cloud-native refactoring with containers and delivery pipelines
Legacy monoliths become cloud-native assets through Modak’s refactor pipelines: we containerize services, externalize state, inject observability, and enable progressive delivery.
Unified relational and NoSQL database orchestration
Modak consolidates relational and NoSQL estates into a single, SLA-backed data layer. We orchestrate online migrations, configure high-availability replicas, enforce point-in-time recovery, and tune adaptive caching.
Lakehouse architecture with batch + streaming pipelines
We architect a governed lake-house on BigQuery, Dataplex and Cloud Storage where streaming (Pub/Sub, Dataflow) and batch pipelines converge under unified lineage.
Production-scale AI/ML with Vertex AI on Google Cloud
Modak orchestrates Vertex-powered ingestion, deployment, and continuous monitoring of AI/ML pipelines automating feature capture, model promotion, and drift alerts so production workloads scale securely, comply automatically, and self-optimize across Google Cloud.
Accelerated SAP analytics on BigQuery and Looker
Modak activates the Cortex data foundation on Google Cloud, mapping business processes to curated BigQuery data marts and Looker semantic models, with pre-built ingestion templates, governance blueprints, and performance-tier storage to bring SAP analytics online in weeks.
Always-on optimization with policy automation
Beyond build-and-transfer, Modak baselines spend, sets error budgets, and enforces policy drift-detection turning day-two operations into an always-on, optimization engine that keeps your cloud estate secure, resilient, and cost-efficient.
100+ Google Cloud-certified engineers with an average 13 years of data-engineering experience.
Uninterrupted operations throughout the transition, maintaining business continuity.
Fortune 100 innovators trust Modak to deploy and scale enterprise-grade Google Cloud platforms.
Reusable blueprints, ingestion frameworks and governance templates slash delivery cycles.
Modak delivered exceptional work by completing all planned objectives while proactively identifying design gaps. Their collaborative approach fostered strong knowledge sharing and continuous learning across the engagement. Even under pressure, Modak maintained a supportive and professional environment, ensuring outcomes were achieved with precision and grace.
Modak provided excellent support, demonstrating consistency and commitment in resolving critical user issues within CML. Their proactive engagement and technical depth ensured challenges were addressed effectively, reinforcing trust and reliability throughout the process.
Modak provided excellent support in streamlining Cloud 3.0 integration and setting up key StreamSets components. Their expertise helped simplify the adoption of the new platform within CDF EPP and enabled meaningful product improvements, allowing tenants to focus on pipeline development with minimal infrastructure concerns.