Data Warehouse Modernization
Cybic modernizes legacy EDW infrastructure through cloud data warehousing, ETL/ELT optimization, and multi-cloud deployments on Snowflake, Databricks, and Azure — with built-in performance optimization and governance.
Enterprises drowning in siloed, legacy data infrastructure need a smarter path forward. Cybic's Cloud Data Warehouse Consulting Services modernize your data stack on Snowflake, Databricks, and Azure — unlocking real-time analytics, AI-readiness, and governed multi-cloud performance. From EDW migration to ETL/ELT optimization, we engineer data foundations built to scale with your business ambitions.
End-to-end cloud data warehouse solutions — from modernization and migration to governance, pipelines, and AI-ready architecture.
Cybic modernizes legacy EDW infrastructure through cloud data warehousing, ETL/ELT optimization, and multi-cloud deployments on Snowflake, Databricks, and Azure — with built-in performance optimization and governance.
Strategic advisory on cloud platform selection, semantic architecture, and data integration modernization — delivering structured roadmaps to align data infrastructure with AI and analytics readiness.
High-performance ETL/ELT pipelines for real-time data ingestion, transformation, and loading — integrating data lakes, warehouses, and enterprise systems for low-latency, AI-ready data flow.
Data landscape audits, gap analysis, and governance frameworks with GDPR, HIPAA, and CCPA compliance — defining clear data ownership and strategic roadmaps aligned to business objectives.
Infrastructure-agnostic cloud, hybrid, and on-prem architectures with RBAC, encrypted data protection, and audit trails — built to scale across AWS, Azure, and Google Cloud with SOC 2 compliance.
AI-enabled dashboards and self-service BI using Tableau, Power BI, Looker Studio, and Domo — delivering real-time KPI tracking, predictive analytics, and prescriptive reporting for enterprise decision-making.
We audit your existing data infrastructure — mapping legacy EDWs, identifying data silos, and evaluating pipeline bottlenecks. This assessment establishes a clear baseline of your current state and uncovers gaps affecting analytics and AI readiness.
See how leading organizations transformed their data infrastructure and unlocked measurable business outcomes with Cybic.
We don't just advise — we architect, build, and integrate cloud data warehouse solutions that operate in your real environment from day one.
Experienced engineers architect and build directly — eliminating gaps between design and deployment for faster, reliable results.
Security controls, RBAC, audit trails, and regulatory alignment — GDPR, HIPAA, SOC 2 — are embedded at the architectural level, not bolted on after.
Solutions operate across Snowflake, Databricks, AWS, Azure, and Google Cloud — no vendor lock-in, full flexibility for your infrastructure strategy.
Data warehouses are built AI-ready — connecting seamlessly to ML pipelines, LLM tools, and analytics layers for unified enterprise intelligence.
A team of engineers, data architects, and AI strategists driving enterprise transformation.
Cybic is an AI and data engineering company purpose-built to help enterprises modernize their data foundations and deploy intelligent systems at scale. We bring deep expertise across cloud data warehousing, ETL/ELT engineering, and enterprise AI — working with organizations across Oil & Gas, Healthcare, Manufacturing, Retail, and the Public Sector. Our partnerships with NVIDIA, Google, Microsoft Azure, Databricks, AWS, and Snowflake reflect a commitment to best-in-class technology execution. At Cybic, we design systems that function in real operational environments, integrating into existing infrastructure and compliance requirements from day one. Our mission is simple: deliver working systems — not slide decks — that create measurable, lasting business value.
Cloud data warehouse consulting involves assessing your existing data infrastructure, recommending the right cloud platform (such as Snowflake, Databricks, or Azure Synapse), designing a migration and architecture strategy, building ETL/ELT pipelines, and implementing governance frameworks. The goal is to replace slow, siloed legacy EDWs with scalable, AI-ready cloud data systems that support real-time analytics and business decision-making.
Speak with a Cybic data architect for a no-obligation consultation tailored to your infrastructure.
Certified expertise in Snowflake cloud data platform deployments.
Recognized partner for enterprise Databricks data lakehouse implementations.
Information security management aligned with international ISO standards.
Tell us about your data infrastructure challenges and goals. A Cybic data architect will review your requirements and respond with a tailored consultation — no obligations, no generic proposals.