Migrating to Databricks is one of the most impactful data infrastructure decisions an enterprise can make — but complexity is real. Cybic's engineering-led team handles every layer: legacy EDW assessment, pipeline re-architecture, Unity Catalog governance, and production cutover. We don't just plan migrations — we execute them, integrating Databricks directly into your existing workflows, compliance requirements, and cloud environment from day one.
End-to-end Databricks migration, modernization, and consulting solutions designed to move your enterprise data platform forward with zero disruption.
Cybic migrates legacy EDW infrastructure to Databricks Lakehouse — optimizing ETL/ELT pipelines, integrating data lakes, and enabling multi-cloud or hybrid deployments with built-in performance tuning and governance controls.
We re-architect and migrate high-performance ETL/ELT pipelines to Databricks, enabling real-time data ingestion, transformation, and low-latency AI-ready data flow across cloud and hybrid environments.
Cybic delivers structured Databricks migration roadmaps, cloud platform selection advisory, and data integration modernization strategies — aligning your data infrastructure with AI, analytics, and business objectives.
We audit your existing data landscape, define Unity Catalog governance frameworks, and ensure GDPR, HIPAA, and CCPA compliance — establishing clear data ownership and policy structures within the Databricks ecosystem.
Cybic connects Databricks to your AI platforms, CRMs, ERPs, and data lakes — building unified operational data systems via custom API development and platform integration for seamless enterprise-wide data exchange.
We design infrastructure-agnostic Databricks architectures with RBAC, encrypted data protection, and audit trails — built to scale across AWS, Azure, and Google Cloud while meeting SOC 2, HIPAA, and ISO compliance standards.
We conduct a comprehensive audit of your existing data warehouse, ETL pipelines, schemas, and dependencies — cataloguing all data assets, identifying migration complexity, and documenting compliance requirements such as HIPAA or GDPR relevant to your industry.
See how leading enterprises across healthcare, finance, and manufacturing have transformed their data platforms with Cybic.
Cybic brings engineering-led execution, embedded governance, and deep platform expertise to every Databricks engagement.
Experienced engineers architect and build directly — eliminating gaps between design and production deployment.
Security, RBAC, audit trails, and compliance controls are embedded at the architectural level — not added as afterthoughts.
Migrations are designed to run on AWS, Azure, or Google Cloud without locking your organization into rigid ecosystems.
Every engagement is structured around delivering working Databricks systems — not slide decks or advisory-only engagements.
A team of experienced data engineers and AI architects driving enterprise migrations.
Cybic is an AI and data engineering company built around one conviction: enterprise transformation requires execution, not just strategy. Our team of engineers, data architects, and AI specialists has delivered Databricks migrations, ETL modernizations, and lakehouse transformations for clients across healthcare, manufacturing, retail, oil & gas, and the public sector. We work with leading platforms — including Databricks, Snowflake, AWS, Azure, and Google Cloud — and have earned the trust of global enterprises including NVIDIA, Google, and Microsoft Azure. At Cybic, every engagement is structured around working systems, embedded governance, and measurable business outcomes. We integrate into your existing infrastructure and compliance requirements from day one, ensuring your Databricks migration delivers lasting operational value.
Databricks migration is the process of moving your existing data infrastructure — including data warehouses, ETL pipelines, schemas, and analytics workloads — onto the Databricks Lakehouse platform. This typically involves re-engineering legacy pipelines to Delta Live Tables or Spark-native workflows, configuring Unity Catalog for governance, and validating data fidelity before production cutover on your chosen cloud environment (AWS, Azure, or GCP).
Speak with a Databricks migration engineer for a no-obligation discovery call.
Recognized delivery partner for enterprise Databricks deployments
Engagements structured to meet SOC 2 compliance standards
Governance frameworks built for regulatory compliance
Tell us about your current data environment and migration goals. A Cybic engineer will review your requirements and respond within one business day with a tailored approach.