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Speaker "Sivadeep Katangoori" Details Back

 

Topic

Building & Managing Enterprise Data Lakes and AI-Enabled Cloud Platforms

Abstract

In this presentation, I share my journey and expertise in architecting, administering, and scaling enterprise-grade Data Lake and Cloud solutions across Fortune 100 organizations. Drawing from my work on large-scale platforms for Wells Fargo and Bank of America, I highlight how I leverage Google Cloud, AWS, Hadoop ecosystems, and DevOps automation to deliver secure, high-performance data environments. I also discuss DataOps best practices, hybrid cloud migrations, project management strategies, and how modern AI/ML tools such as Vertex AI accelerate enterprise transformation. The session offers deep insights into real-world challenges, solutions, and frameworks for building resilient, governed, and analytics-ready data platforms.
Who is this presentation for?
This presentation is intended for: • Cloud engineers and Data Engineers working with large-scale data platforms • Technical project managers overseeing enterprise analytics or cloud initiatives • Architects designing Data Lakes, Data Governance frameworks, or hybrid cloud strategies • AI/ML teams exploring scalable infrastructure for modelling • Business/technology leaders evaluating modern data modernization approaches
Prerequisite knowledge:
To fully benefit from this presentation, the audience should ideally have: • Basic understanding of cloud platforms (GCP or AWS) • Familiarity with Big Data concepts such as Hadoop, HDFS, Hive, MapReduce, or Spark • Awareness of Data Lake architecture and enterprise data workflows • General knowledge of DevOps or automation practices • Some exposure to AI/ML or analytics use cases (helpful but not required)
What you'll learn?
By the end of this presentation, you will learn: • How enterprise Data Lakes are designed, deployed, and optimized • Real-world strategies for DataOps, automation, governance, and cluster performance tuning • How GCP services like Vertex AI, BigQuery, BigLake, and Dataflow support analytics transformation • Best practices for hybrid cloud migration and multi-tenant platform design • How to manage complex projects, align stakeholders, and ensure high-quality delivery • Practical lessons learned from supporting large financial institutions with high-security, high-scale data needs

Profile

My name is Sivadeep Katangoori, and I specialize in Data Lake engineering, Cloud technologies, and AI-driven enterprise solutions. I have hands-on expertise in Google Cloud Platform, AWS, Big Data ecosystems, DevOps, and Data Governance. With several years of experience supporting major financial institutions like Wells Fargo and Bank of America, I have led DataOps, Hadoop administration, hybrid-cloud migrations, and enterprise analytics initiatives. I hold advanced degrees including a Master’s in Software Engineering and executive education in Artificial Intelligence from UC Berkeley. I am also certified as a Google Professional Cloud Architect, Google Professional Data Engineer, and PMP.