Data Engineering
The experts with the modern data stack experience to fuel your data pipelines on Databricks to support advanced analytics, machine learning models or your GenAI projects.
Our Approach on Data Engineering
Our full stack Databricks certified data engineers will bring the right credentials and the experience to hit the ground running as part of your delivery team.
Engineering Talent that delivers
Our team of Databricks-certified engineers possesses the skills and experience to seamlessly integrate with your delivery team. Our engineers' proficiency extends to data modeling in both relational and non-relational databases, enabling them to craft scalable data architectures for diverse use cases. They are adept at developing robust architectures with key performance indicators for data quality, scalability, and performance.
Agile Project Management and Automation
We employ an agile approach, conducting regular reviews to implement feedback, ensuring project efficiency and success. We prioritize accelerating migrations by automating manual processes, eliminating time-consuming, error-prone, and highly manual tasks.
Architecture and Platform Foundation
We believe it is important to plan and build for scale. The right architecture, tools and data engineering workflows and templates will allow your data engineers to build data pipelines that are modern, fault tolerant, can scale, support legacy and modern data sources.
Build a Data Skyscraper
By constructing your project piece by piece, with a data engineering foundation and making sure every layer is secure and compliant, your data skyscraper will stand out in the skyline.
Take the next step
with SunnyData
Learn how SunnyData can help solve your most challenging data engineering problems.