Position: Python Backend Developer with expertise in Data Engineering, Data Science
Category: Python
English level: intermediate
Years of experience: 5

I can work simultaneously in DevOps, Backend Development, Data Engineering, and Data Science.
Greetings,

I'm an accomplished Python Developer with a rich background in Data Engineering, Data Science, and DevOps. Having embarked on my professional journey in 2017, I have amassed a robust suite of skills spanning programming languages, databases, data warehouses, cloud solutions, big data architectures, ETL workflows, and advanced data science methodologies.

Python stands as my dominant programming language, but my proficiency extends to other languages as well. My vast experience has led me to work with a myriad of databases and data warehouses, including PostgreSQL, MongoDB, Redis, Aurora, RedShift, Snowflake, and Athena.

My expertise with cloud platforms is largely anchored in AWS, where I have hands-on experience with services such as RedShift, Lambda, Glue, Athena, Quicksight, StepFunctions, and S3, among others.

In the realm of big data, I frequently employ tools like Spark, Kafka, and Hadoop. My ETL processes often involve the utilization of cutting-edge tools like AirFlow and dbt.

As for data science, my foundation is rooted in both traditional machine learning algorithms and advanced deep learning techniques.

My relentless pursuit of knowledge has led me to prestigious courses like EPAM's Big Data Masters Program, alongside diverse courses on Python, SQL, PostgreSQL, and advanced Data Science specializations.

Outside of my professional commitments, I'm a fervent contributor to the online tech community, regularly engaging on platforms such as LinkedIn, Facebook, Twitter, Github, and the Habr blog.

My extensive certifications, active social media presence, and insightful blog posts underscore my unwavering commitment to continuous learning and knowledge dissemination in this dynamic field. I am eager to deploy my expertise to confront novel challenges and seize new opportunities.
Good people are everywhere.