Cloud Data Engineering Services
Design, transform & scale data workflows with modern cloud-native pipelines built for performance, security & real-time insight.
Let’s Engineer Your DataWhat We Engineer in the Cloud
We turn fragmented, hard-to-scale data systems into cloud-native pipelines that enable real-time intelligence, automation & AI-driven business operations.
Cloud Data Migrations
Shift your workloads from on-premise or legacy systems to modern cloud platforms with minimal disruption, optimized code & built-in security compliance.
Data Strategy & Consulting
Define a tailored roadmap that aligns your business goals with data architecture, tooling, storage & analytics - ensuring clarity before cloud execution.
Intelligent Data Processing Solutions
We design batch and streaming pipelines using ELT/ETL architectures that support AI models, automation & fast business reporting across multiple sources.
Modern Data Storage Solutions
Deploy scalable cloud data lakes and warehouses with native integration across AWS, Azure & GCP - backed by managed services and real-time availability.
Governance & Security Controls
Launch enterprise-grade data governance with access policies, version control audit trails & encryption for privacy laws and regulatory compliance.
Cloud-Native DevOps for Data
Systematize your data workflows and deployment pipelines with DevOps practices that enable CI/CD for data models, APIs & integrations.
What You Gain with Cloud-First Data Engineering
With modern data engineering, you unlock cleaner, faster & safer access to data - helping your business make smarter decisions & work more efficiently.
Our Cloud Data Engineering Process
We follow a practical, cloud-native approach to design, build & manage scalable data systems tailored to your business needs.
We identify all internal and external data sources, then build secure connectors to ingest data in real time or scheduled intervals.
We architect cloud-native pipelines – batch, stream or hybrid – that efficiently move, transform & enrich data from source to destination.
We develop transformation logic using ETL or ELT structuring raw data into optimized formats for analytics, AI or downstream systems.
We implement data lakes or warehouses (on AWS, Azure GCP) with partitioning, versioning & lifecycle management for efficient, long-term storage.
We enforce data governance through access control, lineage tracking, encryption & data validation rules to ensure privacy, accuracy & compliance.
We monitor data flow performance, automate failure recovery & optimize costs by scaling resources only when required.
What Makes Codiant.AI the Right Cloud Data Partner
We don’t just migrate your data - we engineer intelligent future-proof cloud systems that simplify decisions and accelerate business outcomes.
Scalable by Design
Our architecture isn’t just cloud-compatible - it’s designed to scale with your business. From early-stage MVPs to enterprise-grade workloads we build with growth in mind.
You get pipelines that won’t break under pressure, no matter how large your data volume or user base grows.
True Multi-Cloud Expertise
We work across AWS, Azure GCP & hybrid setups - giving you flexibility without vendor lock-in. Every component is tuned for cost, speed & resilience.
Our engineers help you choose the right tools, not just popular ones - ensuring your stack fits your team, data & compliance needs.
AI-Ready Foundations
We don’t just process data - we structure it to power AI, ML & predictive systems. Your data becomes smarter, not just cleaner.
With AI-ready data lakes, labeled datasets & real-time feeds, your cloud foundation sets the stage for intelligent automation and analytics.
Full-Cycle Partnership
From initial assessment to post-deployment optimization, we stay with you. No handoffs no loose ends - just full ownership of the delivery lifecycle.
You get a partner who handles change requests, monitors system health & continuously improves performance as your data strategy evolves.
Cloud Data Engineering Use Cases
From finance to healthcare, we help businesses make smarter decisions with clean, connected & cloud-ready data systems.
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Finance
Build reliable data pipelines for faster fraud detection, real-time reporting & accurate risk analysis - across banks, fintech apps & investment platforms.
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Retail & eCommerce
Connect sales, customer behavior & inventory data in real time to improve forecasting, personalization & marketing performance.
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Logistics & Supply Chain
Track goods, vendors & warehouse data on a single cloud platform - improving visibility, delivery timelines & operational control.
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Healthcare
Combine patient records, treatment histories & diagnostics into a unified data layer to improve care quality & hospital workflows.
Is Your Data Infrastructure Built for What’s Next?
Modernize your data foundation to unlock speed, accuracy & real-time decisions across the enterprise.
Let’s Engineer the Future
Tools & Technologies We Use for Cloud Data Engineering
We use leading tools to build secure, scalable & intelligent cloud-based data infrastructure and pipelines.
Cloud Platforms
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AWS -
Microsoft Azure -
Databricks -
Google Cloud Platform (GCP) -
Snowflake
Data Pipeline & Orchestration
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Apache Airflow -
AWS Glue -
Apache NiFi -
Google Cloud Dataflow -
Azure Data Factory
ETL/ELT & Processing
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Talend -
Fivetran -
dbt (Data Build Tool) -
Apache Spark -
Informatica
Storage & Warehousing
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Amazon Redshift -
Azure Synapse Analytics -
Google BigQuery -
MongoDB Atlas -
Delta Lake
FAQs
It’s the process of building systems that collect, organize & manage your data using cloud platforms like AWS or Azure.
Yes we centralize your data from different sources into one place so it’s easier to access, analyze & use.
Not at all. We plan migrations carefully to avoid downtime and ensure a smooth step-by-step transition.
Absolutely we use strict security measures, including encryption, access control & regular audits to keep your data protected.
Yes we handle everything end-to-end – so even without in-house tech staff, you’ll get a full working solution.