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followers: 29.0 following: 184.0 repos: 44.0 gists: 0.0

Name: Mikolaj Maslanka

Type: User

Company: Data Engineering | AWS Cloud & Microservices | Big Data Technologies & Scalable Solutions

Bio: Experienced professional with a proven track record in developing, and delivering cutting-edge technical solutions.

Location: Remotely

Blog: www.linkedin.com/in/mikolaj-maslanka

Hi there 👋 I'm Mikołaj!

My certs

Summary

Software engineer & data system architect with experience in developing and delivering technical consultancy services in agile methodology & international environments. Certificated Microsoft Azure Data Engineer & Data Scientist, and AWS Solution Architect Associate.

Spearheaded the transformation of initial concepts into pioneering and practical solutions. Collaborated with diverse teams to adapt seamlessly to changing project requirements, contributing to improvement in project completion time and ensuring successful delivery of high-quality outcomes.

Demonstrated an open and curious mindset by seeking out new technologies and approaches, and staying up to date with industry trends.

Skills and Approach

I excel in transforming initial concepts into pioneering and functional solutions. My hands-on approach focuses on seamless collaboration with diverse teams and adapting quickly to evolving project requirements. This has led to more efficient project completions and the delivery of high-quality outcomes. My core competencies include:

• Designing and implementing cloud architectures (AWS, Azure)

• Data platform solutions development

• Applying machine learning for data analysis

• Implementing serverless architecture patterns

• Utilizing DevOps principles and tools in software systems

• Programming skills: I'm trying to be language agnostic :)

• Ability to translate business requirements into functional products

Personal interests

I am passionate about exploring new technologies and solutions, staying current with industry trends, and participating in workshops and conferences to expand my technical knowledge. My interests also include evolving data systems, cybersecurity, and artificial intelligence. Moreover, I'm keen on about financial markets, with an interest in leveraging data to drive investment decisions.

Contact Information

For collaboration or inquiries, feel free to contact me at [email protected] I'm always eager to discuss new technology opportunities and how my skills can contribute to innovative projects.

Interests

Complex Big Data Systems, Cybersecurity, Artificial Intelligence, Financial Markets.

🔭 I’m currently working on ... Clouds system architecture, data engineering, Kubernetes.
🌱 I’m currently learning ... everything I can about and Deep Learning and DevOps.
👯 I’m looking to collaborate on ... community projects especially those related to microservices, and framework orchestrators.
💬 Ask me about ... Machine Learning, Microservices, Data Engineering, Cloud Architecture, Python or Rust.
📫 How to reach me: ... Linkedin or G-mail
⚡ Fun fact... I've read every book on artificial intelligence.

Mikolaj Maslanka's Projects

advanced_python

advanced_trading

This repository offers a curated collection of research papers and code examples covering advanced trading strategies and financial engineering, including quantitative and algorithmic trading. It serves as a comprehensive resource for industry professionals and enthusiasts alike, helping them stay ahead of the curve in this rapidly-evolving field.

apis

Resources about building APIs. Examples of using on production and advanced concepts.

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

aws-dataforge

Complete AWS Resource Hub: Certifications, Data Engineering, and Advanced Topics. Dive into this diverse collection of AWS materials, including certification paths, data engineering, and advanced concepts. Maximize your AWS expertise with these handpicked resources.

azure-forge

Comprehensive collection of resources, tutorials, and projects related to various Azure services. It seems to be focused on Azure administration, data engineering, and data science.

blockchain_dev

Knowledge about blockchain envinment and ecosystem.

data_preprocessing_with_julia

Data Science with Julia: Data Preprocessing

data_streaming

All topics related to data streaming and real-time analysis

databases

Main purpose of this repository is to generate knowledge about databases in general view.

datascience_python_datacamp

DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.

devops-mlops

Tools for DevOps and MLOps. Materials and projects. New technologies and infrastructure review.

docker_and_kubernetes

Resources and materials about Docker and Kubernetes. Examples of using on production. Real case implementation. DevOps usage of containers and CICD processes.

ds_with_python

everyday_practise

Practise everyday to become master at DS, ML, BD

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

git_github

Repository shows how to use Git.Introduction to Git flow. Useful command and workflow.

github-slideshow

A robot powered training repository :robot:

high-performance-python

High-performance Python in practice. Examples of code optimization using various methods and packages.

html_css

infoshareacademy_python_courses

The codes presented in this repository are the result of completing InfoShare courses about Python. There are three levels where first is for beginners and the third is for Python DevOps (jr).

learning_path

The main file here is Markdown, which will be a map in the process of knowledge dissemination in the field of DS, ML, DL. Additionally, there will be side topics, such as setting up the work environment.

linux

Introduction to the linux operating system. Useful system commands. External courses and books on Linux. Additional other resources related to Linux distributions.

mathematics_and_python

Advanced mathematical concepts. Application of the probability theory. Part of the theory of partial differential equations. The use of statistics in the field of DataScience.