Hi, my name is
Tomas Sidiskis.
I make data-driven decisions.
Passionate analytics/data engineer with experience in designing, building, and maintaining large-scale data infrastructure.
About Me
Hi there! My technical skills include proficiency in programming languages such as Python, and SQL, as well as experience in working with big data technologies like AWS. I am also experienced in machine learning, deep learning, data warehousing, Tableau, Power BI, data integration, and data quality management, with a keen eye for detail and a commitment to delivering high-quality data products.
Fast-forward to today, and I’ve had the privilege of working at stock exchange, energy analytics, and a German bank.
I am curious, driven and always looking for new ways to increase efficiency by approaching every scenario with the mindset of "How can we do this better?", I strive to apply that same mindset to my personal life as well. My driving force in anything I do is to be better than I was yesterday.
Here are a few technologies I’ve been working with recently:
- Python
- SQL/DBT
- AWS
- Airflow
- Snowflake
- Tableau/Power BI

Where I’ve Worked
Financial Analysis and Planning specialist @ Nasdaq
February 2024 - February 2025 (1-year contract)
- Analyze and interpret financial data, identifying trends and providing insights
- Use Power BI to visualize and communicate financial data effectively
- Contribute to the development and improvement of data reconciliation processes
Some Things I’ve Created
Featured Project
Data Correlation
I am using Numpy, Pandas, Seaborn and Matplotlib to find correlations between variables in a movie dataset.
- Python
- Pandas
- Numpy
- Matplotlib
- Seaborn
Featured Project
Employee Analysis
This research project details employees for a corporation from the 1980s and 1990s using six CSV files to perform data modelling, data engineering and data analysis.
- Data Engineering
- Data Modeling
- Data Analysis
Featured Project
Data Engineering in AWS
The primary objective of this project is to securely handle and streamline the analysis of structured and semi-structured data from YouTube videos - all while avoiding any "cat-astrophic" data breaches!
- Python
- AWS (Lambda, S3, Glue, Athena, IAM)
Other Noteworthy Projects
view the archiveCovid Data Analysis
This project analyzes COVID-19 data using SQL and presents insights through a Tableau dashboard.
International Debt Statistics
The project involves conducting international debt analysis using Postgresql to extract and analyze data related to the borrowing and lending activities of countries.
Cleaning Nashville Housing Dataset
This project involves cleaning and transforming a Nashville housing dataset using SQL, to prepare it for analysis and gain insights into housing trends.
Covid Dashboard for C-Suite Executives
The project involves creating a COVID-19 dashboard in Tableau that highlights key performance indicators (KPIs), incorporates filters, and presents data in a simple and understandable format, catering to the needs of C-suite executives.
Bitcoin Cryptocurrency Market
To better understand the growth and impact of Bitcoin and other cryptocurrencies I have explored the market capitalization of different cryptocurrencies.
Analyzing TV Data
Using data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
What’s Next?
Get In Touch
Although I’m not currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
Say Hello