We design and implement secure, scalable, and modern cloud data platforms for businesses using AWS, Azure, Databricks, and Microsoft Fabric and Snowflake.
From building lakehouses and data lakes to migrating legacy systems, our team delivers robust, insight-driven architectures that drive real business outcomes.
On AWS, we design and develop ETL pipelines with Glue, build real-time streaming solutions with Kinesis, and manage relational databases and data warehouses with RDS and Redshift.
On Azure, we implement Synapse Analytics, Event Hubs, and Data Lake solutions to enable advanced analytics and modern BI.
With Microsoft Fabric, we help organizations unify data engineering, analytics, and visualization into a SaaS-native lakehouse platform tightly integrated with Power BI.
On Databricks, we leverage PySpark and Delta Lake to build scalable lakehouse architectures, support advanced data engineering, and enable machine learning workflows.
On Snowflake, we deliver modern cloud data warehouse solutions with elastic scaling, cross-cloud sharing, and cost-optimized analytics.
Across all platforms, we provide solutions that are secure, optimized, and ready for scale.
Our core expertise also includes database migrations (MySQL, PostgreSQL, Oracle, SQL Server) from on-premises to cloud, cloud-to-cloud, and homogeneous to heterogeneous environments, ensuring seamless transitions without downtime.
We design and build cloud-native web apps and APIs with ASP.NET Core and C#, delivered as containerized microservices on Azure and AWS.
Production-ready on Azure App Service, Container Apps, AKS and AWS Elastic Beanstalk, ECS/EKS, with CI/CD and full observability.
Certified expertise in: AWS, Azure, Databricks, Snowflake; data engineering & analytics; ASP.NET Core & C# microservices, reliable, future-ready solutions.
We design and implement secure, scalable, and modern cloud data platforms for businesses using AWS, Azure, Databricks, and Microsoft Fabric and Snowflake.
From building lakehouses and data lakes to migrating legacy systems, our team delivers robust, insight-driven architectures that drive real business outcomes.
On AWS, we design and develop ETL pipelines with Glue, build real-time streaming solutions with Kinesis, and manage relational databases and data warehouses with RDS and Redshift.
On Azure, we implement Synapse Analytics, Event Hubs, and Data Lake solutions to enable advanced analytics and modern BI.
With Microsoft Fabric, we help organizations unify data engineering, analytics, and visualization into a SaaS-native lakehouse platform tightly integrated with Power BI.
On Databricks, we leverage PySpark and Delta Lake to build scalable lakehouse architectures, support advanced data engineering, and enable machine learning workflows.
On Snowflake, we deliver modern cloud data warehouse solutions with elastic scaling, cross-cloud sharing, and cost-optimized analytics.
Across all platforms, we provide solutions that are secure, optimized, and ready for scale.
Our core expertise also includes database migrations (MySQL, PostgreSQL, Oracle, SQL Server) from on-premises to cloud, cloud-to-cloud, and homogeneous to heterogeneous environments, ensuring seamless transitions without downtime.
We design and build cloud-native web apps and APIs with ASP.NET Core and C#, delivered as containerized microservices on Azure and AWS.
Production-ready on Azure App Service, Container Apps, AKS and AWS Elastic Beanstalk, ECS/EKS, with CI/CD and full observability.
Certified expertise in: AWS, Azure, Databricks, Snowflake; data engineering & analytics; ASP.NET Core & C# microservices, reliable, future-ready solutions.