The Platforms We Know Best
We've built deep, certified expertise across the full modern data stack — so you get practitioners, not generalists.
Core Platforms
2 platformsSnowflake
The cloud data platform for enterprise analytics. We architect, implement, and optimize Snowflake environments at every scale — from startup data warehouses to Fortune 500 multi-cloud deployments.
Databricks
The unified analytics and AI platform. We build Databricks lakehouses, streaming pipelines, and ML workflows with deep expertise in Delta Lake, MLflow, and Unity Catalog.
Data Platforms
3 platformsMicrosoft Fabric
Microsoft's end-to-end analytics platform unifying data engineering, warehousing, and BI in a single SaaS experience powered by OneLake.
Google BigQuery
Google Cloud's serverless enterprise data warehouse. We build cost-optimized, high-performance BigQuery environments with expertise in BigQuery ML and connected analytics.
Amazon Redshift
AWS's cloud data warehouse, optimized for analytics at scale. We design and migrate Redshift environments with RA3 architecture and Redshift Serverless.
AI & Machine Learning
4 platformsAzure OpenAI Service
Enterprise-grade access to GPT-4, embeddings, and image models with Azure's security and compliance posture. We build RAG architectures, AI assistants, and document intelligence solutions.
Amazon Bedrock
AWS's managed generative AI service with access to leading foundation models. We build production AI applications with enterprise data guardrails.
Google Vertex AI
Google's unified ML platform for building, deploying, and scaling models with Gemini and custom model support.
AWS SageMaker
End-to-end ML lifecycle management on AWS — model training, deployment, feature stores, and MLOps pipelines.
Cloud Infrastructure
3 platformsAmazon Web Services
Comprehensive AWS expertise across compute, storage, networking, and data services. Certified architects across multiple AWS service domains.
Microsoft Azure
Full-stack Azure expertise from infrastructure through data and AI services — Azure Data Factory, Synapse, and the Microsoft Power Platform.
Google Cloud Platform
GCP expertise spanning BigQuery, Dataflow, Pub/Sub, and Vertex AI for data-intensive workloads.
Databases
5 platformsAmazon RDS
Managed relational database service for transactional and analytical workloads in the cloud.
Azure SQL Database
Microsoft's fully managed relational database built on SQL Server for modern cloud applications.
Amazon DynamoDB
Key-value and document database delivering single-digit millisecond performance at any scale.
Azure Cosmos DB
Multi-model, globally distributed NoSQL database for mission-critical applications.
MongoDB Atlas
The developer data platform — document database with full cloud management and built-in search.
Other Technologies
4 platformsKubernetes & Cloud-Native
Container orchestration, microservices architecture, and cloud-native tooling for data platform deployments (Helm, Argo, Apache Airflow on Kubernetes).
Power BI
Microsoft's enterprise analytics and BI platform for interactive visualizations and self-service reporting.
Tableau
Visual analytics platform for self-service BI and data storytelling at enterprise scale.
Looker
Data exploration and embedded analytics platform with LookML semantic modeling.
Premier Technology Partnerships
Qcentra maintains active partner relationships with the leading platforms in data and AI — giving our clients access to certified expertise, early product roadmap access, and preferred support SLAs.
Discuss Your Technology StackNot Sure Which Platform Is Right for You?
We're platform-agnostic at the strategy level and platform-expert at the execution level. Let's find the right fit.