Data Mesh as the Foundation for AI/ML in Financial Services
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About this event
Data Engineers in Toronto June 2026 Semimonthly Meeting
Topic: Data Mesh as the Foundation for AI/ML in Financial Services
Abstract:
Financial institutions want AI/ML at scale, but brittle data pipelines, silos, and compliance demands slow progress. This talk shows how a Data Mesh—domain-oriented ownership, data-as-product, self-serve platforms, and federated governance—becomes the foundation for reliable, reusable ML features and trustworthy models. We’ll map mesh principles to FS use cases—fraud detection, risk, personalization—and show patterns for feature stores, lineage, quality, and access controls that satisfy regulators while accelerating delivery. Attendees will get a pragmatic blueprint: where to start, how to sequence capabilities, metrics that prove value, and pitfalls to avoid on the road from pilots to production.
Speaker: Santosh Durgam, Data Engineering & Analytics Leader
Speaker Profile:
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
The meeting is over Microsoft Teams, and the joining link is https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzZkYWIyOTAtODk1MC00MjVmLWJlNjUtNTRiODZmODA2Zjdh%40thread.v2/0?context=%7b%22Tid%22%3a%22bd9727e8-f539-4c76-983c-6c30130c0bee%22%2c%22Oid%22%3a%229e8d5a64-e773-4ca2-90f6-9a266129171e%22%7d
See you at the meeting!
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