MY STORY

I didn't start with a perfect plan.

I started as a fresh graduate trying to understand where my career would go. One opportunity led to another, curiosity led me toward data, and eventually that journey brought me into data engineering, cloud platforms, analytics, and AI.

This page is less about technologies and job titles and more about the experiences, people, decisions, and values behind the work.

Still exploring.

In technology, in life, and sometimes on a mountain.

THE PATH SO FAR

Concentrix

Where it started

Amazon

Turning point

University of Utah

The big leap

Swire Coca-Cola

Engineering & BI

Adobe

Data Engineering

THE JOURNEY

From uncertainty to opportunity.

Careers rarely move in a perfectly straight line. Mine certainly didn't. Each chapter gave me something I needed for the next one.

WHERE IT STARTED

Concentrix — Starting Without a Perfect Plan

I started my career at Concentrix as a fresh graduate without a perfect roadmap for where my career would go. I was new to the professional world, learning how organizations worked, discovering my strengths, and trying to understand what kind of career I wanted to build.

That period taught me something I still carry today: every beginning matters. The first opportunity, the first person who trusts you, and the first recognition you receive can give you the confidence to keep moving forward.

A TURNING POINT

Amazon — The Opportunity That Changed My Direction

Amazon gave me an opportunity to explore things I had never imagined when I first left college. Working around last-mile operations exposed me to large-scale operational problems, analytics, SQL, automation, and the impact that good data can have on real decisions.

It became an important turning point. I started seeing data not simply as reports or numbers, but as a way to understand why something was happening and what could be done differently.

The Day 1 mindset also stayed with me: stay curious, keep learning, and never assume you have figured everything out.

THE BIG LEAP

Moving to the U.S. for My Master’s

After Amazon, I decided to take a bigger leap and move to the United States for my master’s at the University of Utah. It meant leaving familiarity behind and starting another chapter from the beginning.

Graduate school gave me the opportunity to strengthen the connection between business, analytics, technology, and modern data platforms. It was also a period of adapting to a new country, meeting people from different backgrounds, and becoming more comfortable taking risks.

BECOMING A DATA ENGINEER

Swire Coca-Cola — Turning Learning Into Real Systems

My next major step was joining Swire Coca-Cola as a Data Engineering Intern. That opportunity helped turn what I had been learning into real engineering and analytics work, and it eventually led to a full-time role as a Business Intelligence Analyst.

I worked across data pipelines, SQL, Python, cloud platforms, Snowflake, Power BI, automation, operational analytics, and data modernization. But my growth there was not limited to the technical side. I became involved in broader enterprise initiatives and spent time understanding how the business actually operated, not just how the data looked on a screen.

I made it a practice to learn the business through direct observation and conversations with the people doing the work. That included ride-alongs, site visits, and spending time with operational teams to understand their workflows, challenges, and decision-making processes. This helped me connect technical solutions to real business needs and earned strong appreciation from stakeholders for taking the initiative to understand their world before proposing solutions.

This chapter taught me that the best data solutions are not necessarily the most complicated ones. They are the ones that people can trust, understand, and actually use to make better decisions.

Coca-Cola collection representing time at Swire Coca-Cola

CONFIDENCE IN THE JOURNEY

Adobe — The Chapter That Made Me Fully Believe in Myself

Adobe became a very meaningful chapter in my career. By the time I joined, I had already worked across analytics, cloud data platforms, BI, automation, and engineering — but this experience gave me a different level of confidence in what I could contribute.

My work expanded across Databricks, SnapLogic, SQL Server, Salesforce, Dynamics 365, Microsoft Fabric, data modernization, analytics platforms, and automation. It gave me opportunities to think more deeply about how enterprise data environments evolve and how modern cloud platforms and AI can support that evolution.

More than the technology, I am grateful for the opportunity and for the team I worked with. The trust, collaboration, and support I received there helped me feel fully confident that this is the career I want to keep building.

A CHAPTER I'M GRATEFUL FOR

Confidence comes from opportunity, trust, and the people around you.

I'm grateful for the opportunity Adobe gave me and for the team that helped make this chapter so meaningful.

WHAT I’M BUILDING NOW

Cloud Data, AI & What Comes Next

Today, my work and learning sit at the intersection of data engineering, analytics, cloud platforms, automation, and applied AI.

Microsoft Fabric, Databricks, Snowflake, Azure, Power BI, SQL, Python, AI agents, and applications such as DataLens AI are all part of how I continue exploring what modern data platforms can become.

I still do not think of the journey as finished. Technology changes too quickly for that. I would rather keep the same curiosity that helped me move from my first job into analytics and eventually into data engineering.

“

Never forget who helped you when you had nothing.

I've learned that an opportunity, a little trust, some guidance, or someone simply choosing to help can change the direction of another person's life.

I try to remember the people who did that for me and help others whenever I can without asking what I'll receive in return. I believe doing the right thing matters even when nobody is watching.

I also believe there is something greater than immediate recognition or reward. The way we treat people and the choices we make matter.

OUTSIDE WORK

There's more to life than a dashboard.

Curiosity doesn't stop when I close the laptop. Some of my favorite things have nothing to do with SQL, pipelines, or cloud architecture.

NATIONAL PARKS • HIKING • TRAVEL

One park at a time.

I love exploring national parks, hiking, road trips, and seeing places that remind you how much of the world exists beyond your everyday routine.

🎯 Personal goal: Visit every U.S. National Park

PICKLEBALL • FITNESS

Competitive off-screen too.

Pickleball, workouts, hiking, and staying active are some of the ways I reset after spending hours solving technical problems.

🏛️

WHAT I FOLLOW

Politics, policy & technology.

I enjoy following politics, public policy, technology, and AI — especially how decisions, systems, and technology shape communities and people's everyday lives.

PRINCIPLES I TRY TO CARRY

Technology changes. Values shouldn't.

The tools I use will keep changing. The way I try to treat people should not.

🤝

Remember Who Helped

Success is rarely completely individual. I try not to forget the people who offered an opportunity, advice, trust, or support when it mattered.

❤️

Help Without Keeping Score

Not every good action needs a return. If you can make something easier for someone else, sometimes that is reason enough to do it.

🧭

Do the Right Thing

Character matters most when there is no audience. I believe integrity should not depend on whether someone is watching.

THE STORY CONTINUES

I'm still figuring out what the next chapter looks like.

And I think that's a good thing. There is always another technology to learn, another place to explore, another problem to solve, and another person you might be able to help.

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