Our Expertise

Cloud. Data. Security. Apps.

Beyond the blueprint — the full range of engineering our team delivers. From infrastructure migrations to AI pipelines, we build production-grade systems across the stack.

Cloud & Infrastructure

Design, migration, and optimization across GCP, AWS, and Azure. We build architectures that scale from MVP to enterprise.

  • Cloud migrations & modernization
  • Kubernetes & container orchestration
  • Multi-cloud & hybrid architecture
  • Network topology & private connectivity
  • Cost optimization & governance

Data & AI

End-to-end data pipelines, ML infrastructure, and AI agent architectures — built on GCP's AI platform and beyond.

  • Data lakes, warehouses & streaming
  • ML model deployment & MLOps
  • Gemini & LLM integration
  • Vector databases & RAG pipelines
  • AI agent development & orchestration

Security & Compliance

Infrastructure hardened for SOC 2, HIPAA, and enterprise procurement — with security built in from day one, not bolted on.

  • SOC 2 & HIPAA compliance architecture
  • IAM least-privilege & zero trust
  • WAF, DDoS & edge security
  • Encryption at rest & in transit
  • Audit logging & incident response

Application Development

Platform engineering, CI/CD, and microservices architectures that enable your team to ship fast and safely.

  • CI/CD pipeline design & automation
  • Platform engineering & internal developer platforms
  • Microservices & event-driven architecture
  • Serverless & function compute
  • Observability, monitoring & alerting

Client Results

Real-world impact from the same team that will work on your infrastructure.

Case Study

PayPal → Google BigQuery

Data Pipeline Migration

Realist played a vital role in migrating PayPal's on-prem Teradata data to Google BigQuery, designing and building a robust data pipeline. By coordinating international teams, we ensured a seamless transition that enhanced data management and empowered decision-making with Google's advanced analytics.

"I have worked very closely with Realist on designing various data pipeline(s) for very complex and large-scale data migration project(s) on public cloud. They thoroughly analyze the problem at hand and come up with the most efficient solution... making them the most valuable contributor."

Abhijit Vyas — Senior MTS Database Engineer, PayPal