Hey, I'm Patrick McAlinden! š
I uncover hidden patterns and opportunities within your data.
About Me
Iām passionate about turning raw data into something usefulāwhether thatās through analysis or building the pipelines behind the scenes. I like figuring out the small things others might miss, whether itās a weird edge case in a dataset or a way to make a workflow run faster.
I work with tools like Python, Spark (PySpark and Spark SQL), Databricks, Tableau, and Power BI to help answer questions and support better decisions. I enjoy the process of making complex things simple and helping others see whatās possible with data.
Outside of work, Iām usually gaming or messing around with carsāboth things Iāve always loved. I try to use data wherever I can, whether it's tracking performance in a game or figuring out whatās going on under the hood. Itās all about finding those little details that make a difference.
Experiences
Business Intelligence Analyst
@ Red Storm Entertainment May 2023 - PresentI use Spark (PySpark and Spark SQL), Databricks, Tableau, and Power BI to answer complex analytics questions about player behavior across multiple games. My work focuses on building scalable pipelines and intuitive dashboards that uncover insights for game designers, product teams, and studio leadership.
Rebate Finance Analyst
@ CVS Health Mar 2022 - Sep 2022I verified and reported on rebate discrepancies using SQL and Excel, working to identify, validate, and resolve financial issues across large datasets. My role involved close collaboration with finance and operations teams to ensure rebate accuracy and support smoother reimbursement workflows.
Marketing Data Analyst
@ Freelance May 2021 - Dec 2021I helped small businesses grow their ecommerce presence by analyzing campaign performance, site traffic, and conversion rates. Using Python, Tableau, Google Analytics, and Facebook Insights, I uncovered key opportunities that improved sales and marketing ROI.
Mobile Sales
@ Best Buy June 2018 - Oct 2020This job basically forced me to talkāa lot. It taught me how to ask better questions, read the room, and communicate clearly, skills I now use to understand users and stakeholders just as much as customers.
Projects

Spotify Data Analysis
I frequently use Spotify and, as I have experience with the Spotify API, I decided to utilize my extensive history data to interact with the API and conduct data analysis.

Citi Bike Dashboard
This project analyzes Citibike usage patterns using SQL for data preparation and Tableau for building an interactive dashboard that highlights key trends in rider behavior and station activity.

MLB Analysis
Analysis of historical baseball data using PySpark, focusing on player batting averages, home run leaders, and team slugging percentages. Includes SQL queries and insights into MLB player performances.
Get In Touch
Interested in discussing data insights or potential opportunities? Feel free to reach out!