Scaling Data Engineering Pipelines for Massive Hybrid Environments

To be the best Network company in the US, the Network Engineering team at T-Mobile is always evolving the way we deliver faster and higher quality insights. To support ever-changing technological needs and faster go-to-market on multi-petabyte scale network data, we developed a hybrid approach for on-premises and cloud for network-scale data-driven decision making. The task of identifying the right toolsets and frameworks is exceptionally crucial for a successful cloud modernization hybrid model. In this talk, we will share our experience in modernizing our multi-petabyte data workload to the cloud AND building streaming pipelines using Databricks & Delta Lake. We will primarily focus on:

  • Why are we doing this?
  • What are the core benefits the business wants including the desired and delivered latency requirements?
  • Design patterns we adopted for data movement to the cloud and streaming pipelines?
  • How Databricks & Delta Lake fit in our architecture
  • Best practices we adopted to build a cost-controlled scalable data analytics platform in the cloud

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About Karthik Vasudevan


Karthik Vasudevan is Senior Software Engineer at T-Mobile. He has hands-on expertise in designing and developing large scale distributed data solutions for both on-premise and cloud platforms. He has a master’s degree in computer science and he has delivered many highly complex data analytics products in telco and finance domains. He is currently leading petabyte size data modernization journey to cloud.