How To: Ukraine War Pipeline & Dashboard
A write-up of how I built an ETL pipeline and Streamlit dashboard to track the War in Ukraine.
Skills
Python 90%I am an experienced professional with a demonstrated track record of driving business impact through the use of data. During my career, I have held a number of technical and customer-facing roles such as developer relations, data analyst, and data engineer. That experience has given me a holistic understanding of the data lifecycle, and a unique ability to collaborate effectively across data and executive teams.
In my current role as a Senior Data Engineer, I work with technical, business, and executive stakeholders to design and implement data solutions according to their needs. My work requires technical know-how, an ability to communicate effectively across organizational units, and a commitment to delivering working solutions in a timely manner.
I specialize in building data pipelines and warehousing solutions with Python/SQL, and deploying them on Google Cloud Platform and Amazon Web Services. I'm comfortable working with a wide range of tools and technologies, including Apache Airflow, Docker, Terraform, Snowflake, and Tableau. I pride myself on producing organized, optimized, and well-documented code that is easy to maintain and extend, and I am always looking for ways to improve my skills.
Projects I've done.
Articles I've written.
A write-up of how I built an ETL pipeline and Streamlit dashboard to track the War in Ukraine.
A write-up of how I built and tested various classification models to identify web traffic as malignant/benign.
A write-up of how I used Pandas and Leafmap to analyze and visualize NYC subway and census data.