Speaker

Santosh Durgam

Santosh Durgam

Morningstar Investments Inc, Manager of Software Engineering, Data Engineering & Analytics Leader

Chicago, Illinois, United States

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Santosh Durgam is a data engineering & analytics leader with 20+ years building governed, high-scale data platforms across retirement/401(k), broader financial services, and healthcare. He leads cross-functional teams that deliver production-grade data lakes, lineage-aware pipelines, and ML-enabled analytics on cloud—translating governance into measurable business outcomes.

Recent speaking includes SQL Saturday Minnesota 2025, where he presented “From Ingestion to Insights: Building Robust Data Pipelines in AWS” to an in-person community audience. He has also contributed to international research forums and science conferences, and is invited to speak at ICDPN-2025 (International Conference on Data Processing & Networking), engaging practitioners and scholars on data engineering, governance, and analytics at scale. Santosh actively publishes/curates work via Google Scholar and shares practical playbooks for data quality, metadata/lineage, and operating models that connect data platforms to financial decisioning.

Beyond delivery, Santosh serves the community as a peer reviewer of scholarly work on data/ML methodologies and as a judge/mentor for select industry and academic competitions, reinforcing peer validation and public recognition. He champions modern data culture—mentoring engineers and product leaders, and advocating automation (incl. AI agents) to elevate reliability, speed, and auditability in regulated environments. Santosh recently completed his Executive MBA, sharpening strategy and value-creation at the intersection of data, risk, and growth

Area of Expertise

  • Finance & Banking
  • Information & Communications Technology
  • Media & Information
  • Region & Country

Topics

  • Data Engineering
  • Data Analytics
  • Data Science & AI
  • Big Data Analytics
  • Data Platform
  • Data Visualization
  • Big Data Machine Learning AI and Analytics
  • Data Governance
  • Advanced Data Engineering
  • AWS Data & AI
  • Data Warehousing

From Ingestion to Insights: Building Robust Data Pipelines in AWS

In today’s data-driven world, organizations must handle vast and varied data sources while delivering timely insights. This session explores how to design and implement scalable, resilient data pipelines on AWS—from raw data ingestion to delivering business-ready insights. We’ll walk through real-world architecture patterns using AWS-native services such as Kinesis, Glue, EMR, Athena, and Redshift, with a focus on modular design, data governance, cost optimization, and performance.

Attendees will learn how to handle both batch and streaming ingestion, orchestrate complex workflows, and manage data across different lifecycle stages (raw, refined, curated) using scalable storage solutions like Amazon S3. We'll also dive into transformation strategies using PySpark and SQL, techniques for metadata management and schema evolution, and tools for observability and access control.

Whether you're building your first pipeline or optimizing existing systems, this talk will equip you with practical strategies, architecture blueprints, and lessons learned from real-world implementations. By the end of the session, you’ll understand how to create data pipelines that are robust, cost-effective, and ready to scale—empowering your teams to move faster from data to decisions in the AWS ecosystem.

Santosh Durgam

Morningstar Investments Inc, Manager of Software Engineering, Data Engineering & Analytics Leader

Chicago, Illinois, United States

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