TechMagic’s data engineer consultant designs and optimizes your database and data warehouse platforms. We help you identify and integrate the right tools and technologies to ensure your data is accessible, accurate, and secure. We also specialize in preparing software solutions for integrating systems, making it easy to manage and analyze data from multiple sources. We work with all kinds of data architectures used for collecting, managing, storing, and processing large volumes of data from various sources, providing valuable insights into their operations, customers, and markets.
Get a quoteAt 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.
Get a quoteTechMagic 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.
Get a quoteWe 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.
Get a quoteWith 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.
Get a quoteWe 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.
Get a quoteOur 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.
Get a quoteWe 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.
Get a quoteOur 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.
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Learn how we leverage prompt engineering to streamline recruitment processes with AI.
Case studyCheck how we helped Acorn-i to develop a full-serverless Node.js app on AWS for heavy data analytics.
Case studyLearn how we leverage prompt engineering to streamline recruitment processes with AI.
Case studyCheck how we helped Acorn-i to develop a full-serverless Node.js app on AWS for heavy data analytics.
Case study
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As a data engineering company, we offer end-to-end data engineering services to clients from different industries. Our services cover the entire data lifecycle, from the discovery phase through implementation and maintenance services. Our data engineering experts have experience working with various data architectures and platforms, such as AWS, Azure, etc.
At TechMagic, we follow strict data protection and security standards to ensure that our client's data is always protected. Hire data engineer to work closely and ensure that their data is handled in a compliant and secure manner.
Our team is composed of experienced specialists with a deep understanding of data engineering, cloud computing, and AI. Among data engineering companies, we have worked with various clients from different industries, which allows us to develop the expertise needed to solve complex data engineering challenges.
At TechMagic, we prioritize quality in everything we do, and our data engineering services are no exception. Our team follows best practices in data quality management, such as data profiling, data cleansing, and data validation, to ensure that the data we process is accurate, consistent, and complete. We also implement rigorous security measures to protect our clients' data, such as access controls and encryption.
At TechMagic, we offer flexible pricing models for our data engineering services. We offer both fixed-price pricing models with detailed estimates of the total cost based on the project scope and requirements. This pricing model is best suited for well-defined projects with clear deliverables and timelines.
Python is a popular programming language used in data engineering for tasks such as data acquisition, data wrangling, data cleaning, and data transformation. Python has a wealth of libraries and tools that make it easy to work with data and create powerful data pipelines and applications.
