Mou Rakshit
Avanade, Intelligent Data Platform Data Engineering Thought leadership
Northville, Michigan, United States
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26 YEARS OF EXPERIENCE IN SUCCESSFUL IT LEADERSHIP • DATA MANAGEMENT & ARCHITECTURE •
BUSINESS INTELLIGENCE ANALYTICS & REPORTING • AGILE AND PREDICTIVE PROJECT MANAGEMENT
EDUCATION
• MS, Computer Science, Honors, Wayne State University, 2006-2008
• Master's in Health Services Administration - University of Michigan, Ann Arbor (2017-2020)
• MS in Analytics and Data Science (In Progress), Georgia Tech 2021-2026
• BE in Electronics & Telecommunications, IIEST, 1994-1998
• Chief Technology Officer Certificate Program from Wharton Executive Education, June 2023-May 2024
Certification
• Microsoft Certified: Fabric Data Engineer Associate
• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure for SAP Workloads Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Power BI Data Analyst Associate
• Databricks certified Data Engineer Professional
• Databricks certified Data Engineer Associate
• Databricks certified Data Analyst Associate
• Databricks certified GenAI Engineer Associate
• Databricks certified Machine Learning Engineer Associate
• Databricks certified Machine Learning Engineer Professional
• Databricks certified solution architect essentials
Area of Expertise
End-to-End Data Security in Microsoft Fabric: Deep Dive into OneLake Security
Explore how Microsoft Fabric’s OneLake Security (preview) enables table, folder, row, and column-level security (RLS/CLS) in the OneLake Catalog. This session demos creating security roles, assigning folder and table access, defining row and column filters, and validating enforcement across Spark notebooks, the SQL analytics endpoint, and Power BI.
From Signal to Action in Fabric RTI: Data Agents, Twins, Activator, Copilot
See how Fabric RTI Data Agents turn signal into action: Eventstream feeds Eventhouse (KQL) to detect anomalies; Activator triggers agent plans; agents consult a Digital Twin and, via Copilot Studio computer use, execute safe remediations - with approvals, guardrails, and OneLake audit.
Orchestrating Multi-Agent AI with Fabric RTI: From Alert to Action
Wire Fabric RTI end-to-end: Eventstream -> Eventhouse (KQL) flags anomalies; Activator (GA) fires; Copilot Studio agents + computer use (preview) consult a Digital Twin (preview) and execute safe remediations - governed on OneLake with Data Agents.
Oracle↔Lakehouse: Real-Time CDC to Databricks, Served Back to Oracle
Make Oracle the hero at both ends of your analytics pipeline. In this session, we start with Oracle Database as system of record and stream real-time CDC using Oracle GoldenGate Microservices into object storage/Kafka. Databricks ingests changes incrementally with Auto Loader, applies governed transformations (Unity Catalog permissions, lineage, quality checks), and merges safely into Delta Lake (bronze→silver→gold). Finally, we serve curated data back to Oracle so existing Oracle Analytics Cloud (OAC) dashboards and SQL tools consume near-real-time, trusted tables—no dashboard re-platforming required.
You’ll see resilient CDC patterns (late/duplicate events, PK updates), schema evolution and SCD handling, merge best practices, and observability/SLA tips. The live demo walks the full loop: Oracle DB → GoldenGate → object storage/Kafka → Databricks (Auto Loader, MERGE, lineage) → Oracle destination → OAC visualization. Leave with an architecture, checklists, and code snippets you can productionize.
From Signal to Action in Fabric RTI: Data Agents, Twins, Activator, Copilot
See how Fabric RTI Data Agents turn signal into action: Eventstream feeds Eventhouse (KQL) to detect anomalies; Activator triggers agent plans; agents consult a Digital Twin and, via Copilot Studio computer use, execute safe remediations - with approvals, guardrails, and OneLake audit.
From Signal to Action in Fabric RTI: Data Agents, Digital Twins, Activator & Copilot
Operations don’t improve because we see anomalies—they improve when we act on them safely and repeatably. This session shows how to design a closed-loop “sense → reason → act” system on Microsoft Fabric Real-Time Intelligence (RTI) where Data Agents convert raw telemetry into decisions and auditable actions.
We’ll stream events with Eventstream into Eventhouse (KQL), detect out-of-spec behavior, and trigger Activator reflexes that launch agent plans. Agents consult a Digital Twin (asset models, tolerances, topology) and leverage Copilot Studio (incl. computer use for UI automation) to implement safe remediations—under approvals/guardrails, with full OneLake lineage and audit.
The talk is vendor-neutral in patterns and shows interop with common enterprise sources (e.g., Kafka/Confluent, GoldenGate CDC into object storage, REST/DB adapters). You’ll leave with a blueprint—reference architecture, KQL examples, agent tool design, twin modeling tips, approval flows, and an end-to-end demo—that your team can adapt to manufacturing, retail ops, utilities, or SRE use cases to collapse MTTR while keeping humans in control.
AI-Powered Digital Twins for Real-Time Aerospace Operations with Fabric & Azure IoT
Precision is non-negotiable in aerospace manufacturing. Component failures cost more than downtime—they cost trust. This session dives into how you can construct a real-time Digital Twin of an aerospace production line using Microsoft Fabric Real-Time Intelligence, Azure IoT Operations, and Digital Twin Builder.
You’ll see a live demo simulating sensor feeds from torque wrenches, air pressure systems, vibration monitors, and CNC machines, all routed through Fabric Eventstreams. From there, we’ll use KQL queries and Activator to identify anomalies, trigger alerts, and build a fully interactive Digital Twin that mirrors the shop floor in real time.
We’ll also explore use cases like tool recalibration, part traceability, and predictive maintenance, showing how aerospace teams can ensure production integrity while streamlining compliance. Whether you work in engineering, operations, or analytics, this session delivers hands-on value for turning telemetry into action.
AI-Powered Digital Twins: Real-Time Energy Operations with Microsoft Fabric & Azure IoT
In energy manufacturing, timing and accuracy are everything. From turbine pressure to emissions flow, every data point matters when the stakes involve sustainability, compliance, and uptime. This session takes you inside the real-time digital backbone of a modern energy plant—built using Microsoft Fabric Real-Time Intelligence and Azure IoT Operations.
We’ll walk through a live demo that simulates telemetry from compressors, boilers, and emission stacks flowing through Azure IoT and Eventstreams, structured into a real-time Digital Twin using Digital Twin Builder and Fabric. With Activator and KQL-driven alerting, we’ll showcase predictive maintenance, equipment failure detection, and emission threshold violations—all visualized instantly through Real-Time Dashboards.
You’ll leave with a blueprint for transforming traditional operations into intelligent, responsive systems—while meeting regulatory needs and improving plant-wide visibility. Whether you're building green infrastructure or optimizing legacy plants, this session equips you to act on data the moment it happens.
Real-Time Intelligence: Turning Streaming Data into Smart Decisions
In today’s fast-paced world, making smart, data-driven decisions in real time is essential for maintaining efficiency and quality in business operations. Join us to explore Microsoft Fabric Real-Time Intelligence and discover how to seamlessly ingest, analyze, and act on real-time data.
Learn how to:
1. Ingest real-time data from multiple sources into Fabric
2. Run lightning-fast queries for instant insights
3. Monitor key metrics with intuitive, real-time dashboards
4. Set up automated alerts and detect anomalies for proactive issue resolution
5. Leverage Copilot in Real-Time Intelligence to query data using natural language
AI-Powered Digital Twins: Real-Time Energy Operations with Microsoft Fabric & Azure IoT
In energy manufacturing, timing and accuracy are everything. From turbine pressure to emissions flow, every data point matters when the stakes involve sustainability, compliance, and uptime. This session takes you inside the real-time digital backbone of a modern energy plant—built using Microsoft Fabric Real-Time Intelligence and Azure IoT Operations.
We’ll walk through a live demo that simulates telemetry from compressors, boilers, and emission stacks flowing through Azure IoT and Eventstreams, structured into a real-time Digital Twin using Digital Twin Builder and Fabric. With Activator and KQL-driven alerting, we’ll showcase predictive maintenance, equipment failure detection, and emission threshold violations—all visualized instantly through Real-Time Dashboards.
You’ll leave with a blueprint for transforming traditional operations into intelligent, responsive systems—while meeting regulatory needs and improving plant-wide visibility. Whether you're building green infrastructure or optimizing legacy plants, this session equips you to act on data the moment it happens.
AI-Powered Real-Time Intelligence: Transforming Data-Driven Decisions with Microsoft Fabric & GenAI
In an era where timely, data-driven decisions define competitive success, Microsoft Fabric’s newest real-time intelligence capabilities are setting new standards. This presentation dives into how Fabric’s integrated AI and generative AI (GenAI) features are redefining real-time data analytics and automation. Attendees will explore Fabric’s Real-Time Hub, a streamlined platform enabling organizations to effortlessly bring together diverse data streams, and Event Streams, which seamlessly manage high-volume data capture and distribution from sources.
We’ll examine Eventhouse, Fabric’s optimized engine for high-precision, time-sensitive analytics, alongside Data Activator Integration, which automates alerts and actions triggered by AI-informed, real-time data patterns. With GenAI models embedded in these workflows, users can access predictive insights and dynamic recommendations, allowing for immediate responses to data events.
Additionally, KQL Queryset and Real-Time Dashboards will be featured, highlighting the creation of interactive visualizations, the execution of advanced queries, and the setup of live alerts—all within a single, cohesive framework. Through real-world scenarios and live demonstrations, this session showcases how the synergy of Microsoft Fabric’s AI-powered real-time intelligence and GenAI insights is empowering data teams to make fast, high-impact decisions. This talk will be valuable for data professionals and business leaders looking to leverage cutting-edge AI and real-time intelligence capabilities to drive strategic agility and precision in decision-making.
End-to-End Data Security in Microsoft Fabric: Deep Dive into OneLake Security
Attend this session to explore how Microsoft Fabric’s OneLake Security (preview) enables table- and folder-level security, row-level security (RLS) and column-level security (CLS) inside the OneLake Catalog. We’ll demo creating a security role, assigning access to specific folders/tables, defining filters on rows and columns, and verifying enforcement across Spark notebooks, the SQL analytics endpoint, and Power BI.
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