π™·πšŽπš•πš•πš˜πš†πš˜πš›πš•πš().πš™πš›πš’πš—πš('πŸ‘‹')

I'm Dat

πš™πš›πš˜πš—πš˜πšžπš—πšŒπšŽπš 𝚊𝚜 /πšπš‘πšŠπš/

πŸ§“ a Dad engineer Β· 🩸 a blood of Data Β· πŸ’» a Coder

SELECT TOP 1 someone
FROM world
WHERE is_awesome = true
ORDER BY name DESC;

-- Result: YOU 😎

Random Facts

10+

Years of Making Data Behave

∞

Cups of Coffee Consumed

No

Life

999+

Regrets About This Path

The Journey

2013 - 2018

Chapter 1: The SQL Foundation

SELECT * FROM career
WHERE passion = 'data'
ORDER BY curiosity DESC;

Starting at Capgemini then moving to Titan DMS, I discovered that databases aren't just storage boxesβ€”they're treasure chests of insights. From maintaining enterprise systems to leading database teams across multiple countries, I mastered the art of making SQL Server behave (and occasionally apologizing to it).

SQL Server T-SQL SSIS/SSRS .NET Core
2019 - 2021

Chapter 2: The Cloud & Analytics Era

☁️

At Trax Global and Portt, the data got bigger and cloud became king. I migrated from SSIS ETL to Azure Data Factory, built OLAP cubes, and delivered the first GA release of a next-gen Analytics product with Snowflake and dbt. This is where I learned that data pipelines are like plumbingβ€”nobody notices until 3 AM debugging sessions happen.

Azure Data Factory Snowflake dbt Power BI
2022 - 2024

Chapter 3: The Modern Data Stack Master

import dbt
from infinite_lambda import expertise
expertise.lead_team(size=5)

At Infinite Lambda, I became the architect of end-to-end data platforms across Finance, Retail, and Gaming. Leading teams, mastering the modern data stack (Fivetran, dbt, Snowflake, Looker), and becoming a seasoned OSS contributor with tools like dbterd. This is where Python, SQL, and leadership skills converged beautifully.

dbt Fivetran Python Terraform
2025 - Present

Chapter 4: Data & AI Engineering & Education

πŸ€–

Plot twist: Now I'm teaching both humans AND machines! At Foundry AI Academy, I develop curriculum for AI and data engineering while continuing to architect data platforms at Infinite Lambda. From prompt engineering to context engineering, I've evolved from organizing data to teaching AI agents how to reason about itβ€”and occasionally debugging their existential crises at 3 AM.

Prompt Engineering Context Engineering AI Training Curriculum Design

What I Actually Do

🍳

Data Cooking

I speak fluent SQL, Python, and occasionally interpretive dance when explaining complex data flows. Your data has stories to tellβ€”I'm just the translator.

πŸ—οΈ

Pipeline Architecture

Building data pipelines that are more reliable than my morning coffee routine. ETL, ELT, or TLTE (That Looks Totally Epic)β€”I've done them all.

πŸ€–

Data & AI Engineering

Creating AI agents that are smarter than a fifth-grader (most of the time). From RAG to multi-agent systems, I make machines think so you don't have to.

☁️

Cloud Navigation

Expert in making data fly through the clouds without getting lost. AWS, Snowflake, or your grandma's serverβ€”I can make it work.

🎯

Problem Solving

"It's impossible" is just another way of saying "hold my coffee". If there's data involved, there's always a solution (usually involving Python).

πŸ“š

Knowledge Sharing

Writing technical blogs that are actually readable. Because if you can't explain it simply, you probably copied it from Stack Overflow.

Ready for Data Consulting & Education?

Whether you need expert data consulting for your next platform, comprehensive training for your team, or curriculum design that actually makes sense, let's turn your data challenges into learning opportunities.

Find me at