Andrii — Data Engineer, ETL, Data QA

Vetted expert in Data Engineer, Data Extraction and ETL, Data Science.

Last verified on March, 2026

Middle

Upper-Intermediate English

Core Skills

Python

AWS

Kafka

Apache Airflow

Snowflake

Bio Summary

8+ years of experience as a Data Engineer, Data QA, and Data Science challenges. - AWS Certified Data Analytics.
Experience creating and supporting of ELT data pipelines built on Snowflake and DBT
Warehousing models, and support existing processes/ETL’s (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, AWS services
Software developer with good communication and organizational skills.

Technical Skills

Programming Languages	C, C++, Java, Python
Java Frameworks	Apache Spark
Scala Frameworks	Apache Spark
Python Libraries and Tools	Dask, Keras, Matplotlib, NumPy, Pandas, PyTorch, TensorFlow
AI & Machine Learning	Keras, LSTM, NumPy, OpenCV, PCA, PyTorch, TensorFlow
Data Analysis and Visualization Technologies	Apache Airflow, Apache Spark, Decision Tree, k-NN, Logistic regression, Pandas, Random Forest
Databases & Management Systems / ORM	Apache Hadoop, Apache Spark, GC SQL, Snowflake, SQL
Cloud Platforms, Services & Computing	AWS, GCP
Amazon Web Services	AWS big data services, AWS S3
Google Cloud Platform	Google AI platform, Google BigQuery, Google Cloud AI, Google Data Studio, StackDriver
Deployment, CI/CD & Administration	CI/CD, GitLab CI
SDK / API and Integrations	GC API, Livescore API, messengers API
Version Control	GitLab
Message/Queue/Task Brokers	Kafka
Virtualization, Containers and Orchestration	Kubernetes
Mail / Network Protocols / Data transfer	LDAP
QA, Test Automation, Security	Selenium Webdriver
Other Technical Skills	BigData services, clusterization, Data QA, grab, Naive Bayes

Projects

Data Engineer, cloud DevOps

April 2022 - now

Responsibilities

setting up Airbyte connections, developing custom Airbyte connectors, deploying AWS architecture, building custom data management tools, creating data flow security solutions
AWS ELT data pipelines
AWS cloud architecture deployment
Creation of ELT pipelines deployed on AWS to collect data from e-commerce platforms

Technologies: Python, Airbyte, Kubernetes, AWS EC2, CI/CD, OpenVPN server, AWS Lambda, AWS SQS, Fargate, Bigquery, Airflow, AWS Cloudwatch, REST API, AWS ECR

Data Engineer, Data management platform (Amazon e-Commerce Aggregator)

2021-present

Overview:

A next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We use a deep understanding of rankings, ratings, and reviews to identify and acquire quality brands and use world-class expertise and data science to make their products better or create new ones to meet changing customer demand.

Responsibilities:

Create and support ELT data pipelines built on Snowflake and DBT while ensuring high-quality data
Develop and deploy data warehousing models, and support existing processes/ETLs (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, AWS services
SQL statements and developing in Python
Design and develop data pipelines (DAGs). Automation tests.

Technologies: AirFlow, Snowflake, Python3, AWS S3, Hadoop, Spark, GitLab CI/CD, Kubernetes, LDAP.

Data Science Engineer, Audience Segmentation

2020

Overview:

Develop of recommendation system, user analysis, bot searching, and analytics report

Responsibilities:

Building models
Analytics
Python Development & Automation

Technologies: Python3.7, Google AI platform, Big Query, Data storage, AI platform automation tool, NumPy, TensorFlow, Pandas, Google Data Studio, Dask, SQL, GitLab CI/CD

Data Science Engineer, Steel Defect Detection research

2019

Overview: Building a model for image classification and segmentation of damaged surfaces on steel sheets.

Responsibilities:

Building models
Data analytics
Implementation in Python

Technologies: Python3.7, GC compute engine, TensorFlow, PyTorch, Google Data Studio, Matplotlib, OpenCV, Keras

Automation Engineer, Google Cloud AI platform, automation

2019

Overview: Goggle Cloud resources CI/CD implementation for Data Science pipelines, that allows to scale resources, train and predict custom models as specific jobs and save results.

Responsibilities:

CI/CD implementation for data science pipelines (GCP environment)
Developing and implementing train/prediction models

Technologies: Python3.7, AI platform, Big Querry, Data storage, GitLab CI/CD, StackDriver, GC API, NumPy, TensorFlow, OpenCV

Data Science Engineer, Data import

2018

Overview: Developed a data processing algorithm to automate the process of analysis, cleaning, transformation, and merging damaged data.

Responsibilities:

Engineering a data processing algorithm

Technologies: Python3.5, NumPy, pandas, Google cloud, Matplotlib

Data Engineer, Apple stocks forecasting research

2018

Overview: A created model for apple stocks forecasting based on previous data

Responsibilities:

Built a forecasting model

Technologies: Python3.6, Keras, LSTM, NumPy, pandas.

Software Engineer, Football Data Scraping

2017

Overview: Developed tool for automatically football data scraping from 50+ webpages, created a statistics report.

Responsibilities:

Developing a scraping tool, design, and implementation
Developing statistics reports

Technologies: Python3.6, pandas, grab, Selenium.

Software Engineer, Live-score bots

2017

Overview: Developed bots for different messengers that gives advanced information about football teams, based on parsed Livescore data.

Responsibilities:

Developing bots
Livescore data scraping and messaging

Technologies: Python3.6, pandas, NumPy, GC SQL, Livescore API, messengers APIs.

Education & Certificates

AWS Certified Data Analytics.
2022
Cybersecurity (Bachelor) – National Technical University
2019
Data Engineer and Data Science career tracks – DataCamp
2018 – 06/2019
Data Science fundamentals – Data Science Camp, Ukraine
2018 – 2019
Specialist in Software Development – Technical National University
2015 – 2019

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