Viktor Andriichuk

Solo Entrepreneur | LLM and Python Expert | Big experience in hands-on Python, Data, ML, LLM, DevOps

Skills (experienced since the 2017):

Programming languages

Python (primary language)

Data Bases, Data Warehouses

DuckDB, PostgreSQL, MongoDB, Aurora, RedShift, Snowflake, Athena

Cloud Tools

AWS Services (RedShift, Lambda, Glue, Athena, Quicksight, StepFunctions, S3 etc.)

Big Data

Spark, Kafka, Hadoop

ETL

AirFlow, dbt

Data Science

classical ML algorithms and deep learning

Links:

My brands:

Gazolin Production (micro SaaS), DataFlux (Outsourcing, Outstaff), Agents of Fortune (AI SaaS),

Social media

Linkedin, Facebook, Twitter, Github

Blogs

Habr, AI Agents Blog YouTube

Courses and Certificates

EPAM Big Data Masters Program, Construction of asynchronous additions on Python (Course), Apache Spark (Course), Big Data (Course), Scala for Java Developers (Course), Go! (Course), Data Engineer: from middle to expert (Course), NLP (Course), English for IT (Course), Data Science Accelerator (Course), Data Science Specialization (Course), Practical course for beginners in SQL and PostgreSQL (Course), Docker and Docker Compose: from Zero to Hero (Course), The Complete Guide to Python 3: From Beginner to Expert (Course)

Career:

Curriculum Vitae (CV)

Data Engineer & Data Analyst
@Fabiosa Media

I specialised in creating advanced data processing models to identify insights.
I created a dynamic model that optimises content based on deep data analysis.
I strived for innovation and continuous improvement in Big Data and data mining.

Python Data Engineer
@Deloitte

Data transormation by AWS Glue Jobs.
Storing data in Athena, Aurora.
FuzzyMatching.

Python Data Engineer
@HEALTH UNION

Created DWH with Snowflake for Data Science team.
Created ETL processes for Snowflake.
Created dbt project from scratch for ETL processes for Snowflake.
Developed Python scripts for internal services.

Python Data Engineer
@PepsiCo

Created ETL processes for Snowflake with AirFlow and dbt.

Python Data Engineer
@APPEN

Developed DAGs for AWS AirFlow and SQL queries for AWS RedShift.
Created dashboards for Data Marts.

  1. Education

    Taras Schevchenko National University of Kyiv

    Finance, Bachelor
    1998 - 2003

  2. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

    Applied mathematics, Master's degree
    2020 - 2021

  3. Kharkiv National University of Radio Electronics

    Data Science, Master's degree
    2022 - 2023

  4. EPAM Big Data Masters Program

    BigData
    2022 - 2023