01
Senior Analytics Engineer
MetricMend
Building a complete Analytics Engineering platform from raw data to AI-powered business decisions.

Analytics Engineer
Every dashboard tells a story.
What matters most is the confidence it gives people to make better decisions.
Analytics Blueprint
Decision Architecture
Ref AK-01
Status · Active
Business Goal
Requirements
Source Systems
Data Integration
Data Platform
Semantic Layer
Decision Experience
Trusted Decision
System Architecture
Scale 1:1
Rev 1.0
AK Systems
Decision Framework
UNDERSTAND
Every successful analytics initiative begins by understanding the business objective, stakeholders, and the decisions that need to be made before touching any data.
QUESTION
I challenge assumptions, clarify success metrics, identify edge cases, and uncover the questions that truly drive business value.
FOUNDATION
Reliable decisions require reliable data. I validate sources, define ownership, establish governance, and eliminate ambiguity before engineering begins.
ENGINEER
I design scalable pipelines, reusable transformations, and clean dimensional models that remain dependable as the business evolves.
STANDARDIZE
Metrics are standardized inside a governed semantic layer so every dashboard, report, and AI assistant speaks the same business language.
SIMPLIFY
Executives shouldn't think about SQL or tables. They should receive clear insights, intuitive visualizations, and answers they can trust immediately.
TRUST
The final deliverable is never a dashboard. It is confidence—the ability for leaders to make faster, smarter decisions backed by trusted data.
Career Highlights
Every role has taught me something different about analytics.
Whether supporting educators, business leaders, or cross-functional teams, my goal has always been the same: understand the problem, build something people can trust, and make data a little more useful than it was yesterday. The experiences below are a few moments that helped shape how I think about analytics, collaboration, and building solutions that people genuinely enjoy using.
KinderCare Learning Companies
Working with KinderCare gave me the opportunity to support teams that care deeply about children and families. My focus was on making reporting easier to understand, reducing manual work where possible, and giving leaders a clearer view of the information they needed every day.
Promethean
At Promethean, I worked on analytics solutions that connected large amounts of business data with the questions stakeholders were trying to answer. It was a great opportunity to improve reporting performance while keeping the experience simple for the people who relied on it.
Years in Analytics
Every experience added something new.
KinderCare taught me how important clarity is for leadership. Promethean showed me how scalable analytics can support growing organizations. Those experiences continue to shape how I approach analytics today and ultimately inspired me to build MetricMend.
Enterprise Initiatives
01
Senior Analytics Engineer
Building a complete Analytics Engineering platform from raw data to AI-powered business decisions.
02
Senior Analytics Engineer
Designed and built an end-to-end analytics platform using Bronze, Silver and Gold architecture, transforming raw business data into trusted insights with Athena and Power BI.
03
Senior Analytics Engineer
Modernized a legacy Cognos reporting platform into a trusted Azure and Microsoft Fabric analytics ecosystem, rebuilding business confidence through governed semantic models and interactive Power BI experiences.
03
Senior Analytics Engineer
Modernized a legacy Cognos reporting ecosystem into a governed Microsoft analytics platform using SQL Server, SSIS, dimensional modeling, and Power BI for executive and self-service reporting.