Got Sheet

Spreadsheets are mind-numbing, cumbersome and archaic. 

But they could give you back a lot of hours every week if  you could use them a little bit better.

I teach digital productivity. 

I've spent 15+ years incorporating software into my work and personal life, and the results have been amazing.

I'll help you be more productive so you can stop wasting time on things you hate and start spending more time on the things that you love.

Subscribe for free now. 

I make weekly videos and you'll get access to my best work immediately.

Get Good at Spreadsheets

Progress and Perfection

Addiction is torture, compliance is optional. I've put 22+ years of recovery experience into daily bite-sized reflections.

Get free, recovery themed, Christian flavored reflections in your inbox when you wake up. 

For those struggling, recovering, or seeking understanding.

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Stop Dying

Cups Espresso Cafe

I get to oversee an awesome company while drinking incredible coffee.
-Company Operations
-Franchise System Operations
-Franchise Sales Operations
-Marketing and Branding
-Quality Standards
-Product & Process Improvements

-Ensures Mississippi stays caffeinated
-Develops and orchestrates company's business strategies
-Oversees marketing program & product curation
-Manages payables and receivables
-Assembles and analyzes financial forecasts

Corporate Vice President

-Customer service expert
-Voted Jackson Mississippi's Best Barista 2008, 2009 & 2011 by Jackson Free Press

Barista/Manager

Undertow Podcast Network

Undertow is a network of music-centric podcasts.
I produce, script, orchestrate and record episodes for multiple shows.

Founder

Self - Employed

Co-wrote and published first novel: Jon Swansong and the Pirata Isle
Participated in two Nanowrimo (National Novel Writing Month) events during July 2013 and November 2013 in which you are challenged to write a novel (50,000 words for their purposes) in one month

Author

Sieis Productions

Manage and operate home recording studio
Produce, perform and mix soundtrack-centric audio content for online podcasts
Maintain websites and distribute content

Owner and Producer

After being introduced to John Grisham and A Few Good Men, I figured I'd be a lawyer. 

But in the early 2000's I found myself adrift in the deep south of the United States. 

I did what anyone would in this situation: became a barista.

What a time to be alive. The pretentiousness of specialty coffee was palpable in those days.

I bought VHS latte art tutorials. Need I say more?

I found my way onto the campus of Holmes Community College. Two years later, Dan Harmon decided to make a hit TV series roughly diagramming my many years there.

I quit my job at least 2.5 times over the course of 10 years. But they kept pulling me back in and I kept pulling espresso shots through college.

I made my way to Millsaps College and graduated after another several dozen weeks of self-deprecation with a business degree so well rounded the diploma still rolls off my desk.

It was 2012. The earth was still warm. I was a somewhat educated, somewhat experienced graduate. I accepted a management role at Cups. I got married. We bought a home. I was nearing the end-game.

A rift appeared in my sanity. I returned to college to take a summer Calculus II course.

I was intoxicated by all the math and science that I'd overlooked for the first thirty years of my life.

Sparked mainly by a restless discontent that would confuse Steinbeck and a love of the show Lost, I figured I'd study some physics and get an engineering degree.

I got halfway there; the harder half too, from what I understand...so I basically have an engineering degree.

We had our first child and enjoyed it so much we kept going.

Formal education was again put out of my life. I grieved. I found freeCodeCamp, YouTube and the pure days of MOOCs (looking at you, MIT).

I learned to code, I dabbled in data, I began to write, I made some videos, I listened to hours of podcasts, I built and butchered websites. 

Accepting a remote role (still at Cups), I moved back home to the foothills of the Smoky Mountains in East Tennessee and took up ultrarunning.

The world fell apart, but I had already gone remote before it was cool. I ran some more. I began using LinkedIn on the regular. I began to see gray hairs in my beard.

We bought a mini van.

I'm currently writing a tech newsletter, growing a YouTube channel, publishing a daily reflection on addiction, reading a bunch of books and not watching any sports.

Press the follow button and reach out—I’d love to say hey. 👋

Eamonn Cottrell

I like solving messy data problems and turning them into systems that just make sense. Give me a tangle of spreadsheets, outdated dashboards, or a clunky process, and I’ll transform it into something clean, scalable, and surprisingly usable.

I’ve worked across industries (energy, higher education, marketing, infrastructure) each one teaching me how to think creatively, act precisely, and build systems that don’t just work, but work well. I thrive in that sweet spot between deep technical work and practical business impact, where decisions get smarter, teams move faster, and the right data shows up at the right time.

In previous roles, I’ve: 
• Streamlined ETL pipelines across 700+ nodes, cutting hours of processing time
• Automated the extraction of 22 years of RFP data, eliminating manual lift entirely
• Built dashboards that helped execs uncover millions in missed opportunity
• Consolidated redundant code into centralized Python libraries for better scalability
• Helped reallocate $50K+ in marketing spend by identifying high-performing lead sources
• Created intuitive reporting tools that saved teams 7+ hours a month and reduced errors

Tools I use often: Python, SQL, Power BI, GCP/Azure, Snowflake/Databricks, dbt, and a bit curiosity. Whether I’m building a reusable pipeline, visualizing performance for decision-makers, or uncovering patterns no one saw before, I focus on clarity, impact, and getting the job done right.

I think like a consultant, build like an engineer, and move like an owner. I’m often the one who volunteers to untangle the hard stuff and then quietly makes it look easy.

If you're working on something complex and need a fresh perspective (or just want to nerd out about data), feel free to connect.

Scott Fiene

The enterprise data team was supposed to own the pipeline. I ended up building it, and owning it. That shouldn't be a win, but it was.

The project was scoped, planned, and handed to the team assigned to carry it. With competing priorities, unclear ownership, and a timeline that kept moving, it inevitably stalled.

The business need wasn't going anywhere, so I built it myself. Not ideal, but I had the autonomy to act and I'm not taking that for granted.

Here's what that actually means at the org level: a dedicated, well-resourced team was assigned this work. A solo analyst built it in less time than the whole of the initial meeting process took and now holds the keys.

That's not a story about one stubborn analyst. That's a story about what happens when organizational complexity becomes the bottleneck.

The data was never the hard part. It rarely is.

How often does your team end up building around a process that was supposed to help them and how long before anyone names it as the actual problem?

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Midcontinent Independent System Operator (MISO)

Data Analyst

Solutions Architect

Business Intelligence Manager

Digital Marketing Data Analyst

Fractional CDO | I Close the Gap Between Technical Teams and Leadership | Mid-Market Organizations

Someone had been copying and pasting data from yearly Excel files into a Power BI report.

Not occasionally. As a regular part of maintaining public communications reporting. The data lived in separate files by year, and every update meant going file by file, pulling the right rows, dropping them into the right place. The enterprise data pipeline that would fix this was in design. Months from production.

So I stopped waiting.

I built a consolidated historical data file that Power BI could connect to directly. No new infrastructure. No waiting on the enterprise team. Just a structured file that behaved like a source instead of a spreadsheet someone had to manually rifle through. Took one day to get right.

The copy/paste workflow is gone. The report updates from the source now.

The reason this pattern keeps showing up in every org I work with: data teams get handed a big infrastructure project and everyone upstream just... waits. Months of manual work accumulate while the right solution is in queue. But 80% of the time, there is a bridge solution you can build in a day that eliminates the manual work without touching the infrastructure roadmap at all.

You don't need the pipeline to stop the bleeding.

What's sitting in your org right now that people are copy/pasting around while they wait on the real fix? 

————————————————————————

Hi, I’m Scott. If you're a data or ops leader dealing with this exact situation, I'd like to connect. It's the kind of problem I spend most of my time solving.

#DataAnalytics #PowerBI #Automation #DataEngineering #OperationalEfficiency

The best career opportunities I’ve had, I didn’t pitch. I built something, and someone with authority noticed. Last week it happened again.

A Product Owner from a completely different team reached out. They’d seen the systems I’d been building. Automations, data infrastructure, workflow improvements. They went to their leadership and mine and asked if I could start developing product ownership skills by working alongside them.

I didn’t have that on my roadmap. I wasn’t angling for it.

But I’ve been around long enough to know that the work you do in plain sight is your actual resume. The solutions you ship, the problems you solve without being asked, those are what get noticed by the people who can open doors you didn’t know existed.

Most people build good work and then try to market it. I’ve found it goes the other way. Build something genuinely useful, make it visible, and let the people who care about that kind of work find you.

The product ownership path wasn’t something I could have planned. But it wasn’t an accident either.

What’s the most unexpected opportunity that came from work you were just doing because it needed to be done?

200 people were starting every morning the same way: manually checking three tools to figure out what the day looked like.

Executives, senior PMs, the whole team.

I automated it. Now it’s in their inbox at 7am. Tasks, meetings, team commitments. One email. No assembly required.

The build wasn’t complicated. Pull solo tasks from one source, team planner from another, calendar events from a third. Combine, summarize, deliver.

The problem is that nobody had connected the three.

That’s the pattern I keep finding in organizations (and seeing on lead magnets on LinkedIn). The tools exist. The data exists. The gap is just that nobody with data skills has looked at the workflow and asked: why is a person still doing this?

For 200 people, that morning assembly ritual was probably 15 to 20 minutes each. Every working day.

One automation and one 7am email. The day is already organized before anyone opens their laptop.

Most automation wins aren’t about replacing complex work. They’re about noticing that simple, repetitive assembly tasks have been quietly taxing your team for years.

The organizations I work with are usually surprised by how quickly that list gets resolved. Most of it doesn’t require complex solutions.

I hit a wall trying to add AI to an automation I built. Not a technical wall. A subscription wall. Now I’m waiting on the enterprise team. Again.

This is the second time in two weeks I’ve run into the same pattern. Last week I manually rebuilt historical data from yearly Excel files rather than wait on a pipeline that should already exist. This week I can’t move an automation forward because of a subscription tier nobody flagged until I needed it.

The technology is ready. The idea is sound. The bottleneck is the process around it.

Here’s what frustrates me about this. The people closest to the work almost always know what needs to happen. They’re not waiting on a better idea. They’re waiting on approval, access, or a ticket response.

That gap has a cost. It’s just distributed across enough people and enough time that nobody adds it up.

How much of your team’s output is sitting in a queue right now waiting on something that has nothing to do with the actual work?

When did your last big decision slow down because two teams pulled the same metric and got different answers? That's where strategy actually breaks.

Not in the boardroom. Not in the planning doc. In the data layer underneath it.

I've watched well-run orgs stall on decisions that should have taken a day (and suffer the repercussions). The strategy was clear. The leadership was aligned. But when the moment came to act, two teams showed up with two different numbers. Both technically correct. Both pulled from systems the org had approved and maintained. Nobody knew the other report existed until the conversation stopped cold.

That's not a data quality problem. It's a translation problem. Somewhere between the strategy and the systems, nobody defined which number was the decision anchor. So each team built their own.

The longer it goes unresolved, the worse it gets. Both teams keep optimizing. Both systems keep producing outputs. The org stays busy. Nothing moves.

The fix isn't a new tool or a data governance committee. It's one question asked early: when we make this decision, which number are we using, and who owns it. That question feels almost too simple to ask. Which is exactly why most orgs never ask it.

Strategy doesn't fail because the vision was wrong. It fails because the translation stopped before it reached the systems people actually use to make decisions.

Finding where the translation breaks is most of what I do.

Where exactly does your strategy stop being strategy and start being someone’s best guess?

taplio

The Battle

Eamonn Cottrell

Scott Fiene

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taplio

The Battle

Eamonn Cottrell

Scott Fiene

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Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Scott Fiene's LinkedIn Performance

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