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Akhil Devabhakthuni logo

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

Operating Principles

The judgment behind
the architecture.

01

CHALLENGE

Question the ask, not just the requirements

The ticket rarely describes the actual decision someone needs to make. I ask what changes if the number is wrong, who acts on it, and what "trusted" has to mean before I touch a data source.

02

GOVERN

One definition, everywhere

A metric is defined once, inside a governed semantic layer, so a dashboard, a report, and an AI assistant never disagree about what a number means.

03

BUILD

Architecture before shortcuts

Research before dashboards. Architecture before shortcuts. I'd rather build a model that survives the next five questions than one that only answers today's.

04

DECIDE

Confidence is the deliverable

A dashboard isn't the finish line. The finish line is a leader making a call without needing to double-check the number first.

Business Impact

Making Data Matter

What changed for the business after the system shipped.

KinderCare Learning Companies

Helping Leadership See the Bigger Picture

Problem

Enrollment, staffing, and finance data sat siloed across on-prem systems, with different teams using different definitions for the same KPI.

What Changed

  • ✓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

Problem

A legacy Cognos platform on aging on-prem infrastructure had eroded business trust in the numbers stakeholders were reporting on.

What Changed

  • ✓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. I apply that same architecture thinking to the systems I build on my own, including 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
Problem
Traditional BI answers questions only after a dashboard is built — business users still depend on analysts to interpret data and define metrics.
Architecture
A medallion lakehouse (Bronze → Silver → Gold) feeding a governed semantic layer and an AI decision-intelligence layer, not just a reporting tool.
Impact
A single governed source of truth for KPIs, with AI answers grounded in real business context instead of raw prompts.
Learn More→

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
Problem
Raw data was available across disconnected files — trusted, repeatable analytics was not.
Architecture
Medallion architecture on Amazon S3: Python for transformation, Athena for serverless SQL, Power BI for the semantic and reporting layer.
Impact
A clearer, more dependable path from source data to executive reporting.
Learn More→

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
Problem
A legacy Cognos platform on aging on-prem infrastructure had eroded business trust in the numbers.
Architecture
Migrated to Azure and Microsoft Fabric, rebuilding KPI logic inside governed semantic models.
Impact
One source of truth adopted across Finance, Sales, Manufacturing, and Operations.
Learn More→

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
Problem
Enrollment, staffing, and finance data sat siloed across on-prem systems, with no consistent KPI definitions between teams.
Architecture
A SQL Server dimensional warehouse (star schema) fed by SSIS, with a DAX-governed semantic layer powering Power BI.
Impact
More consistent reporting across teams and clearer visibility for leadership.
Learn More→