Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 0.5

1) Being a BI Engineer, I used knowledge of Data Engineering to build a Data Lake storage in Azure to ingest, store and process historical weather data to provide deep information to mining specialists for making decisions.
2)  I helped AppDev team to build mobile application for controlling main business metrics in mine zone. The main responsibility in this project was to extract data from transactional database, transform it and provide necessary shape of data to build app's backend.
3) Create BI Dashboard to track logistic information about product delivery to railway terminals which become the main product in series of dashboards.
4) Having experience as Data Engineer, I built a service which send personal notifications about water outages in my city using OCR Engine, Apache Airflow for orchestration processes and API's for sending notifications in messenger.
5) Currently, I am gaining experience in Data Engineering products on  Google Cloud Platform. I built streaming solution to send simulated sensor data  to Pub/Sub topic, process it with Dataflow and send processed data to BigQuery.

Certifications:
1) DP-203 Azure Associate Data Engineer certificate
2) DP-900 Azure Data Fundamentals certificate
3) Python Basics - The University of Michigan

Badges:
1) Building Batch Data Pipelines on Google Cloud 
2) Building Resilient Streaming Analytics Systems on Google Cloud 
3) Google Cloud Big Data and Machine Learning Fundamentals 
4) Google Cloud Fundamentals: Core Infrastructure
5) Modernizing Data Lakes and Data Warehouses with Google Cloud
Project: Automated notification platform about water outages [Non-commercial project]
Involvement Duration: August 2022 – May 2023
A platform which sends personal notifications to users about water outages based on image and text processing. 
Project Role: Data/Software Engineer
Responsibilities:
1) Solution design.
2) Infrastructure configuring. 
3) Define text processing flow. 
4) Development.
Tools & Technologies: Python, Pandas, Apache Airflow, Tesseract OCR, PostgreSQL, Docker, Telethon, Git.

Project: Coal Processing project
Involvement Duration: June 2021 – March 2022
A project with set of Power BI reports focused on controlling coal processing on mine.
Customer: Canadian company
Project Role: Junior PowerBI Engineer
Responsibilities:
1) Maintaining existing BI solutions
2) Implementing new functionality
3) Creating new PowerBI reports
4) Data model refactoring
5) Integration of data models into BI report.
Tools & Technologies: 
Microsoft Power BI, Postman ,Google BigQuery, Microsoft Azure

Project: Charity Dashboard [Volunteer project]
Involvement Duration: August 2022 
A near real-time dashboard which show users' donation activity
Project Role: Junior PowerBI Engineer
Responsibilities:
1) Implementing the visual design of report
2) Setup PaaS database in Azure Cloud
3) Design tables for database
4) Working with payment API to integrate it with report 
5) Deploying Azure Function
6) Creating PowerAutomate flows for handling required scenarios.
Tools & Technologies: PowerBI, PostgreSQL PaaS on Azure, SQL, Power Automate, Azure Functions

Project: Water resources in Ukraine [Non-commercial project]
A BI project which shows consuming of water by water users.
Involvement Duration: April 2021
Project Role: BI Engineer
Responsibilities:
1) Looking for a dataset.
2) Data cleaning.
3) Creating data model.
4) Implementing business logic. 
5) Building visualizations.
Tools & Technologies: Microsoft Excel, Microsoft Power BI

Superstore [Non-commercial project]
A BI retail project with processed sales data, visualizations, and performance indicators.
Involvement Duration: February 2021
Project Role: BI Engineer
Responsibilities:
1) Data cleaning.
2) Creating data model.
3) Implementing business logic. 
4) Building visualizations.
Tools & Technologies: Microsoft Excel, Microsoft Power BI