banner
Build Smarter Pipelines

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 Data

What 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.

Make Better Decisions

Get real-time, reliable insights from well-structured data pipelines that support smarter business planning, forecasting & strategy across all departments.

make-better-decisions

Access Data Easily

Break down data silos with centralized cloud storage - so every team can access the right data without delays, confusion or duplication.

access-data-easily

Boost Efficiency

Automate data collection and processing to reduce manual work, eliminate errors & speed up day-to-day operations across teams.

boost-efficiency

Stay Secure & Compliant

Protect your business with built-in governance, access control & encryption - keeping your data secure & compliant with industry regulations.

stay-secure-and-compliant

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.

cloud-data-engineering
  • Finance

    Build reliable data pipelines for faster fraud detection, real-time reporting & accurate risk analysis - across banks, fintech apps & investment platforms.

  • Retail & eCommerce

    Connect sales, customer behavior & inventory data in real time to improve forecasting, personalization & marketing performance.

  • Logistics & Supply Chain

    Track goods, vendors & warehouse data on a single cloud platform - improving visibility, delivery timelines & operational control.

  • 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
is-your-data-infrastructure

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

  • AWS AWS
  • Microsoft Azure Microsoft Azure
  • Databricks Databricks
  • Google Cloud Platform (GCP) Google Cloud Platform (GCP)
  • Snowflake Snowflake

Data Pipeline & Orchestration

  • Apache Airflow Apache Airflow
  • AWS Glue AWS Glue
  • Apache NiFi Apache NiFi
  • Google Cloud Dataflow Google Cloud Dataflow
  • Azure Data Factory Azure Data Factory

ETL/ELT & Processing

  • Talend Talend
  • Fivetran Fivetran
  • dbt (Data Build Tool) dbt (Data Build Tool)
  • Apache Spark Apache Spark
  • Informatica Informatica

Storage & Warehousing

  • Amazon Redshift Amazon Redshift
  • Azure Synapse Analytics Azure Synapse Analytics
  • Google BigQuery Google BigQuery
  • MongoDB Atlas MongoDB Atlas
  • Delta Lake 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.