"Data isn't just numbers. It's human decisions transformed into meaningful outcomes."I engineer pipelines, semantic schemas, and automated AI agents driving true enterprise decisions.
A linear progression from building localized visualizations to scaling global fabric migrations and governance architectures.
My career kicked off with a foundational fascination: how data pathways influence human decision-making. Studying computer engineering led me deeper into model orchestration, relational query compilation, and mapping star-schemas which laid the groundwork for enterprise analytics architectures.
Partnering with Ruffalo Noel Levitz (RNL), I re-engineered student enrollment forecasting pipelines. I took fragmented manual processes and deployed a highly optimized, single-template Power BI Premium dataset supporting 110+ university clients.
Ensured operational high-availability across global reporting domains inside Microsoft's core ecosystems. Supporting large-scale BI infrastructure, I integrated Microsoft Copilot Studio to allow ad-hoc conversational data queries, optimized Star-schema relationships, and handled Composite models to bypass traditional memory lags.
Acted as BI Team Lead for the pharmaceutical leader Kyowa Kirin to deliver their unified European Clinical Trial Management System. I engineered strict GDPR/EMA isolation security, managed high-performance star models mapping clinical Dataverse staging, and integrated Microsoft Data Activator for proactive exception alerts.
Within the FLIP product engineering module, we developed an automated pipeline to migrate complex Informatica PowerCenter XML pipelines into clean Microsoft Fabric. I co-designed compilers converting proprietary XML schema elements into functional, performant M Query scripts and optimized SQL blocks.
Revolutionized Power BI governance at Molex (Koch Industries). Using Python, the Fabric CLI, and PBIP metadata, we engineered scripts programmatically updating bookmarks and filters, integrating with Git. We built Snowflake-to-Power BI cross-reconciliation logic using PySpark and SemPy (Semantic Link) to detect drift on 11 critical KPIs automatically.
Building next-generation solutions with Microsoft Fabric, Power BI, and Databricks. Designing and implementing MCP (Model Context Protocol) Servers, custom AI integrations, autonomous Data Agents, and Operational Agents. Crafting interactive Fabric Apps to drive streamlined business automation and visual intelligence.
I focus on quantitative business outcomes—saving thousands of engineering hours and deploying highly performant datasets.
Direct insights from enterprise platform directors, clinical operations leads, and intelligence managers who have collaborated with me.
“We were struggling with slow, manual reporting across teams until Naveen stepped in. He cleaned up our messy SQL queries and rebuilt our entire Power BI dashboard system from scratch. Now, our executive dashboards load instantly and we can actually trust the data. His mastery of DAX and data modeling is stellar, but his ability to make complex dashboards look clean and simple is what really sets him apart.”
Data & Compliance Lead
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I don't just collect certifications. I understand how specific features resolve processing locks, accelerate queries, and secure regulatory structures.
Explore in-depth technical breakdowns of system architectures, transformation mappings, and business outcomes engineered across global client projects.
Overhauling student lifecycle analytics for 110+ universities with a unified semantic layer and dynamic multi-tenancy.
Supporting and scaling a global reporting ecosystem, resolving performance bottlenecks, and pioneering Copilot Studio integrations.
Leading cross-functional pods to deploy a secure, AI-driven, and highly regulated European clinical analytics workspace.
Programmatically parsing legacy ETL XML files to auto-generate Power Query (M) scripts and T-SQL pipelines on Fabric.
Unifying Molex's Snowflake and Fabric layers, automating metadata scripts on 180+ reports, and launching zero-trust automated testing.
Test and trigger Naveen Jujaray's enterprise pipeline routines and model calculations in real time. Choose an operations sector below.
Pre-aggregating tables and resolving bidirectional filters shrinks categorical footprint inside the physical VertiPaq memory frame.
I pair certifications and higher education with direct enterprise experience. Click a section or review my complete resume layout directly on the screen.
Microsoft Certified
Microsoft Certified
Scaled Agile, Inc.
Master of Science in Data Science (2022 – 2024)
Tucson, AZBachelor of Technology in Computer Science & Engineering (2017 – 2021)
Hyderabad, INPUMA Group (via Texplorers)
Koch Industries (via Consulting)
Kanerika Inc.
Sonata Software Limited (Client: Kyowa Kirin)
Sonata Software Limited (Client: Microsoft)
Brillio LLC (Client: RNL)
"Data should answer questions before people think to ask them." True analytics models exceptions and forecast trends interactively, predicting points of interest.
"Dashboards should guide decisions, not decorate screens." Visual metrics are worthless unless they trigger direct action, automate pipelines, or save workloads.
"Technology is meaningful only when it creates crystal-clear clarity." A complicated pipeline or multi-layered query code is useless if users can't derive direct values.
Are you migrating legacy databases, scaling enterprise-scale Power BI environments with Microsoft Fabric, or looking to integrate smart conversational AI layers? Let's connect.
You can reach out directly via LinkedIn or email to coordinate interviews or discuss enterprise business intelligence consultations.