Build the foundation of your modern business with data engineering.
At Agilytic, we can assist you wherever you are in your data journey.
With our Data Engineering services, you will be able to transform organizational knowledge into insights for improved business decisions. First, we’ll take the time to understand your requirements and technical capabilities. Our experts will work closely with you to develop Big Data solutions and implement pragmatic, efficient data infrastructures that take into account your current and future needs.
Our full set of Data Engineering services translates into three main areas:
Advice at every stage of your data journey
Data is becoming essential to daily life, and having a proper infrastructure helps collect and build better insights. Data infrastructure consists of data assets, the systems that maintain them, and primes your data for analysis. With markets that require agility and fast-paced innovation, a strong data infrastructure can help you monitor operations, extract valuable information, and make smarter decisions every day. You will be able to keep your finger on the pulse, save time and resources, and drive value and ROI for your business.
But setting up a data infrastructure that achieves this goal raises many questions: Which data architecture configuration do I need? Where and how to start? What tools and technologies to leverage? Should we follow a build or a buy strategy? How do I ensure the privacy of the data? And the list is long...
We can assist you in elaborating the best architecture for your data flows and testing their efficiency. Our data engineers and architects can compare and select the best tools and technologies needed to support you. Finally, we assess and review the roles and responsibilities within your teams to assist you in your data-driven transformation.
Implement and deliver your data engineering projects
Do you know what you have to do but need some extra hands to make it happen? Our team is there to help deliver tangible results. We are familiar with the most used data stacks and tools and always keep on training to answer your needs. We work with the leading cloud providers (Azure and AWS) and widespread data technologies (Databricks, ELK, Airflow, Apache Kafka, Terraform, Docker, and more).
Holding a Computer Science degree or equivalent, our data engineers leverage the DevOps practices and tools used in software design. Central to DevOps are automated provisioning, automated testing, and automated build and deployment, as well as agile kanban project management. Our engineers help your team to become more productive in their activities and deliver faster and more qualitative value to your business.
Empower your team on cutting-edge topics
Your team is already well established, but you need to work on a new topic? With the knowledge we have accumulated during our various projects, we can help your team grow in specific areas: web app development, API setup, secured systems, search engine, database design, object-oriented principles, and more.
- Leverage deep expertise. We have experience from over 150+ projects for clients covering a variety of use cases to develop complex data systems. Industries include banking, telecom, media, and logistics.
- Focus on outcomes. Our experts have seen different situations and different approaches. We know what critical factors drive successful data engineering initiatives.
- Benefit from a full-stack approach. We work with numerous integrative technologies and systems that can be applied across use cases.
- Reduce the time-to-value. Integrate analytics into your business processes quickly. Driven by business strategy, we help you define key success factors and match your needs to a full portfolio of data engineering services.