Analytics Engineering, BI, and Data Foundations

I build end-to-end data integration and reporting systems.

From fragmented Excel files and operational tools to governed models and trusted dashboards, I design the full path from raw data to decision-ready reporting.

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Key Achievements

Cloud cost impact: identified $100K+ annual savings opportunities through Azure Cost Management analytics and Power BI reporting.
Model governance: helped standardize and maintain 400+ analytics models and reporting objects, improving consistency, reuse, and trust in business metrics.
Enterprise Fabric delivery: designed Microsoft Fabric analytics solutions for 5+ enterprise clients, covering OneLake, notebooks, SQL endpoints, and Power BI.
BI adoption at scale: delivered reporting solutions used by 800+ end users across sales, finance, and operational teams.
Automation impact: automated pipelines and reporting workflows, reducing delivery time from weeks to minutes.

Gallup Strengths

These strengths support how I work with teams: solve problems quickly, learn fast, adapt to people and context, and keep improving delivery over time.

Case Studies

Case studies built around architecture, modeling, and outcomes.

Featured Case Study

Azure Cost Analytics in Microsoft Fabric / Power BI

Azure cost analytics pipeline built with dbt, Dagster, DuckDB, and Microsoft Fabric to turn raw billing, price, discount, and resource metadata into governed marts, semantic models, and optimization reporting.

Featured Case Study

AI-Powered BI Delivery with Lightdash

dbt and Lightdash MVP that turns Azure pricing and amortized-cost logic into curated marts, MotherDuck-hosted semantic tables, and decision-ready dashboard exploration.

Case Study

Cloud Migration Metadata Workflow

Metadata-driven analytics pipeline designed to standardize infrastructure inputs, produce migration-ready datasets, and generate repeatable Excel deliverables.

Case Study

QlikView Sales Classification Pipeline

Legacy QlikView pipeline where chained applications, QVD storage, and rule-based classification created a governed reporting workflow for sales classification and decision support.

Featured Case Study

Real-Time Weather Streaming on Azure and Microsoft Fabric

WeatherAPI streaming project that moved lightweight scheduled ingestion from a Databricks prototype to Azure Functions, then routed events through Event Hubs, Fabric Eventstream, Eventhouse/KQL, Power BI, and Data Activator email alerting.

Technical Projects

GitHub projects that act as public technical proof, with case studies describing the delivery and architecture behind them.

Azure cost analytics semantic model preview

GitHub Project

Azure Cost Management Analysis

GitHub proof focused on Azure cost analytics delivery: dbt modeling, Microsoft Fabric workflow design, semantic logic, and decision-ready reporting for cost optimization.

Shows the path from raw cost inputs into curated models, governed metrics, and trusted reporting
Highlights architecture thinking, performance tradeoffs, and maintainable analytics delivery
Supported by the related case study that explains business context and outcomes

dbt GitHub Repository Case Study

GitHub Project

Lightdash Delivery on dbt Marts

GitHub proof showing how dbt marts, semantic structure, and Lightdash turn curated analytics models into usable business reporting.

Shows the path from dbt marts into reusable BI metrics and dashboard delivery
Keeps repo structure readable, scoped, and recruiter-friendly
Supported by the related case study that explains delivery choices and business logic

Lightdash GitHub Repository Case Study

Strengths

Built around dependable analytics delivery.

About

From business questions to trusted analytics systems.

I'm a Senior Analytics Engineer with 12+ years of experience designing transformation layers, scalable analytics models, and trusted reporting for enterprise environments.