In Progress
Simulate large-scale e-commerce transaction data using synthetic generators and process with PySpark.
Create a data processing pipeline for analyzing synthetic e-commerce data
Hello,
I'm Mirosław Bober,
an aspiring
Analytics Engineer.
Exploring the world of analytics and data engineering.
--Analytics Engineer ProfileCREATETABLEdata_nerd(nameVARCHAR(50)='Mirosław Bober',titleVARCHAR(100)='Aspiring Analytics Engineer',skillsTEXT[]=ARRAY['SQL','Python','Power BI','Excel','MS SQL Server','MongoDB','Docker','Data Modeling'],loves_dataBOOLEAN=TRUE,builds_pipelinesBOOLEAN=TRUE,automates_reportsBOOLEAN=TRUE);--Only hire if conditions metSELECT*FROMdata_nerdWHEREloves_data = TRUE AND
automates_reports = TRUE AND
'SQL' IN skills AND
CARDINALITY(skills) >= 5;ABOUT ME
Who I am?
My name is Mirosław Bober. I am a detail-oriented and curious data professional with a strong foundation in databases, analytics, and data engineering. I’m passionate about transforming raw data into meaningful insights and building efficient, well-modeled data systems. I enjoy learning new tools and techniques in data analysis, automation, and modern data stack technologies (like SQL, Python, dbt, Power BI). I thrive in solving real-world problems with data and am open to opportunities where I can contribute to building smarter, data-driven solutions.
Goals
Planned
Launch a minimalist productivity app using Next.js + local storage.
Develop a clean, efficient productivity tool with persistent local storage
Planned
Create a personal finance dashboard with real-time stock/ETF data.
Build a comprehensive dashboard for tracking investments and financial data in real-time
Skills
Jetbrains
RStudio
SQL
PHP
tensorflow
MongoDB
MySQL
PostgreSQL
Git
AWS
pytorch
Docker
Pandas
Numpy
Firebase
linux
Spark
Python
ProjectsView All Projects
Education
2023 - Present
Bachelor Degree in Computer Science
Specialization: Databases and Data Engineering
University of Economics in Katowice, Poland
2019 - 2023
IT & Computer Science Technical School
National Professional Qualification: IT Technician (EQF Level 4)
Professional Interests
Business Intelligence
Strategic use of data for decision-making.
Big Data
Managing and extracting insights from massive, complex data sets.
Neural Networks
Designing layered computational models that mimic brain-like pattern recognition.
Personal Interests
EDM
Listening to and exploring electronic music genres and sound design.
Investing
Analyzing markets and allocating capital to grow wealth over time.
Fountain Pens
Collecting and writing with fine pens.