Data Management & Engineering Services
Power smarter decisions with modern data architectures, real-time pipelines and scalable systems built for business growth.
Explore CapabilitiesOur AI-Powered Data Management & Engineering Services
Codiant designs intelligent data systems that enhance accessibility, performance and analytics readiness for businesses across every industry vertical.
Data System Architecture
We build flexible data systems that reflect your business logic and support AI, governance and future-ready analytics.
Modern Data Warehousing
Build centralized repositories for structured and unstructured data to support high-speed analytics, reporting and compliance across your enterprise.
Automated ETL Pipelines
Develop smart data pipelines that automate extraction, transformation, and loading - ensuring timely, clean and consistent data across business systems.
Live Data Processing
Ingest and process real-time data from multiple sources to support instant insights and time-sensitive decision-making processes effortlessly.
Multi-Cloud Data Sync
Integrate data across AWS, Azure and GCP environments to ensure continuity, consistency and unified business intelligence across platforms.
Data Lineage & Compliance
Track data flow from source to destination while enforcing access controls, privacy rules and regulatory compliance across all systems.
Powering Intelligence with Future-Ready Data Infrastructure
Codiant builds intelligent, scalable data systems using advanced tools that support real-time performance, AI integration and enterprise-level resilience.
AI-Ready Data Lakes
Aggregate vast amounts of raw data in one place using solutions like Azure Data Lake and Amazon S3. Empower your teams to unlock insights, power AI models and generate reports in real time.
Big Data Technologies
Handle massive data streams efficiently with platforms like Spark and Kafka. Enable instant processing, accurate forecasting and fast analytics - even in large, distributed business environments.
Smart Databases
Access and manage data at scale using proven technologies like PostgreSQL, MongoDB and NoSQL. From fast queries to complex analytics, we ensure smooth performance across workloads.
Cloud Infrastructure
We help you build data systems on trusted cloud platforms like AWS, Azure and Google Cloud - cutting down on costs while improving uptime and future growth flexibility.
Business Gains from Data Management & Engineering
Drive intelligent transformation with reliable data systems that boost productivity, ensure consistency and power insight-driven decisions across the enterprise.
Accurate data leads to good decisions. Teams can make quicker, more confident decisions when their information is accurate and timely.
No one wants to sit for days waiting on a report. Automated data flows allow you to identify trends and opportunities at or near emergence.
By eliminating the manual work and being thoughtful about your use of the cloud, your systems become cheaper to run and scale better as you grow.
Data risk errors are caused due to not checking the data. With the right checks in, your numbers remain consistent and more trustworthy.
No matter if you double the users or you keep adding new services, A good structured system can scale easily with not much slowness.
Regulations pertaining to data are becoming more and more stringent. Built-in policies allow you to stay compliant without additional manual processes.
Why Choose Codiant for Data Management Services?
We combine deep technical expertise with business insight to build secure AI-ready data systems tailored to your growth goals.
Domain-Led Approach
We understand your industry challenges and tailor data strategies that align with sector-specific needs, compliance and digital maturity goals.
AI-Ready Architecture
Our solutions are designed with future needs in mind - supporting machine learning, predictive analytics and real-time data intelligence at scale.
Cloud-Native & Scalable
We build on AWS, Azure, and GCP to ensure your data systems are agile, elastic and ready for dynamic business demands.
Full Lifecycle Support
From strategy to deployment and maintenance, we offer end-to-end support to keep your data infrastructure secure, updated and high-performing.
Solving Real Data Problems That Slow Business Growth
We help companies overcome data bottlenecks, modernize legacy systems and turn fragmented information into reliable, real-time intelligence.
Disconnected Data Silos
We consolidate data sources across various functions into a single, focused system that improves visibility between departments, facilitates cross-functional collaboration.
Outdated Legacy Systems
Our team modernizes aging infrastructure with scalable, cloud-native platforms built for flexibility, performance and future AI-readiness.
Low Data Reliability
Our clean, validated data driving accurate insights and confident decisions are free of inconsistency, duplication and errors.
Slow Analytics Delivery
Speed up your reporting and insights pipeline with automated ETL workflows, live dashboards and AI-powered performance management.
Shape a Data-Driven Enterprise That Moves with Precision
Design modern data systems that deliver speed, trust and insight - aligned to your unique business goals.
Consult Our Data Experts
FAQs
Any organisation that is struggling with complex datasets needs data engineering and apart from that various growing sectors such as healthcare, financial services, retail or logistics also need data engineering.
Depending on the complexity of your setup, it can take anywhere between 4-12 weeks for a complete implementation – end-to-end from planning to optimization.
Yes, absolutely. We’re used to working with both modern cloud platforms like AWS, Azure, GCP, Snowflake and older on-prem systems. We make integration as smooth as possible.
We don’t just throw tools at problems. Our team takes time to understand your business inside out, then builds solutions that are flexible, scalable and actually aligned with your goals.
