Data Engineering Services

At TechMagic, we extract and refine structured and unstructured data from streaming and batch sources, enabling seamless integration with legacy databases or cloud systems.

Our team uses advanced techniques to cleanse and transform the data, ensuring its quality and consistency for downstream processing.

TechMagic provides scalable solutions for managing large volumes of data, enabling enterprises to extract valuable insights and make informed decisions.

As for big data engineering services, our team designs and implements data architectures that integrate with existing systems and ensure data security. We leverage different technologies to build reliable and high-performance data pipelines that can handle petabytes of data.

We assess and architects the cloud setup for your business minimizing infrastructure costs and improving business agility.

Providing data engineering consulting, we help organizations seamlessly migrate their data to the cloud without risking data quality. Starting with defining a roadmap, strategy, and approach to building and sustaining the most optimal data platform with toolkits, and accelerators.

With data warehousing service, you can store and organize large amounts of data in a structured format, making it easy to access, analyze, and report on. Data is stored in a structured format, making it easy to query, report on, and analyze.

By centralizing their data in one repository, clients can eliminate data silos, minimize data duplication, and optimize data quality. This, in turn, leads to better data management and improved decision-making capabilities.

We leverage the latest tools for data modeling, querying, and analysis to provide our clients with the most effective data warehousing solutions. Our expertise in data engineer consultancy, specifically warehousing and automation tools enables us to create scalable and reliable pipelines that can handle diverse data sources, automate data flows, and enhance query performance.

We implement big data infrastructures that leverage and extend their current IT infrastructure or build new ones. Among the best data engineering companies, we have experience in extracting, processing, transforming, and loading data into various relational, non-relational, NoSQL, big data systems, and cloud storage.

Depending on the data's availability, volume, velocity, and type, we choose the appropriate storage solution that meets our client's needs.

With our solutions, you can store and access vast amounts of data in an efficient and cost-effective manner, scaling up and down quickly as your business grows.

Our data migration services provide a streamlined process for migrating business data from on-premises legacy systems to cloud storage infrastructure or new target platforms. We enable you to seamlessly transition your data to its new storage.

Our data engineering team builds production-grade, repeatable, and independent data workflow pipelines to move, transform, and store data.

We use a range of legacy, Big Data, cloud orchestration and data management pipeline tools and techniques to process data in batch and real-time, ensuring business continuity and minimizing downtime.

We transform complex data sets into interactive visual representations. Our team can create custom dashboards and reports that provide actionable insights. This service involves combining data from different sources into a single, unified view.

Data visualizations help you to quickly identify patterns, trends, and anomalies in your data, making it easier for you to make informed decisions. We also have expertise in building customized data pipelines that can handle a wide variety of data types, including structured and unstructured data, and can integrate data from cloud-based as well as on-premise sources.

Our data modeling services involve designing and implementing data structures. Providing data engineering as a service, we take into account your specific requirements, data sources, and data types to create an optimized schema that enables efficient data processing and analysis.

We ensure data integrity and consistency through rigorous testing and validation, and continuously monitor and adjust the schema to accommodate evolving business needs.