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Analytics Engineer

Building analytics
systems that
leaders trust.

Every dashboard tells a story.

What matters most is the confidence it gives people to make better decisions.

Input
Process
Output

Analytics Blueprint

Decision Architecture

Ref AK-01

Status · Active

01

Business Goal

02

Requirements

03

Source Systems

04

Data Integration

05

Data Platform

06

Semantic Layer

07

Decision Experience

08

Trusted Decision

System Architecture

Scale 1:1

Rev 1.0

AK Systems

Decision Framework

From business questions to
every trusted decision.

01

UNDERSTAND

Business Understanding

Every successful analytics initiative begins by understanding the business objective, stakeholders, and the decisions that need to be made before touching any data.

02

QUESTION

Strategic Questioning

I challenge assumptions, clarify success metrics, identify edge cases, and uncover the questions that truly drive business value.

03

FOUNDATION

Trusted Data Foundation

Reliable decisions require reliable data. I validate sources, define ownership, establish governance, and eliminate ambiguity before engineering begins.

04

ENGINEER

Analytics Engineering

I design scalable pipelines, reusable transformations, and clean dimensional models that remain dependable as the business evolves.

05

STANDARDIZE

Semantic Intelligence

Metrics are standardized inside a governed semantic layer so every dashboard, report, and AI assistant speaks the same business language.

06

SIMPLIFY

Executive Experience

Executives shouldn't think about SQL or tables. They should receive clear insights, intuitive visualizations, and answers they can trust immediately.

07

TRUST

Decision Confidence

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

Making Data Matter

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

Helping Leadership See the Bigger Picture

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.

What I Worked On

  • Executive reporting
  • Power BI dashboards
  • Semantic data modeling
  • KPI alignment
  • Reporting automation

How It Helped

  • Made reporting more consistent across teams
  • Reduced repetitive manual reporting
  • Improved visibility into key business metrics
  • Helped leadership make informed decisions

Promethean

Making Complex Data Easier to Understand

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.

What I Worked On

  • Enterprise reporting
  • Data modeling
  • ETL optimization
  • Executive dashboards
  • Performance tuning

How It Helped

  • Improved reporting performance
  • Created more consistent reporting experiences
  • Increased confidence in shared metrics
  • Built a stronger foundation for future analytics

9+

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

Products.
Platforms.
Possibilities.

01

Senior Analytics Engineer

MetricMend

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

DatabricksSemantic ModelingDecision IntelligenceNext.js

02

Senior Analytics Engineer

Enterprise Lakehouse on AWS

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.

Amazon S3AthenaPythonPower BI

03

Senior Analytics Engineer

Promethean World

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.

AzureMicrosoft FabricPower BITableau

03

Senior Analytics Engineer

KinderCare Education

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.

SQL ServerSSISPower BIDAX