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Location

Poland

Rate

$20  / per hour

Years of experience

4+

About

As a Certified Kubernetes Application Developer and AWS Certified Solutions Architect with four years of professional experience, I have developed a strong foundation in DevOps, cloud platforms, and big data systems. Currently, as a DevOps Architect and Team Leader at Accenture, I am responsible for building and maintaining an internal mentoring pipeline to enhance the technical and consulting competencies of our team members, particularly in cloud and data engineering. I architect data engineering infrastructures for global companies, present Proof of Value demos to executive management, and coach junior engineers on best practices and architectural patterns. Prior to my current role, I served as a DevOps Engineer at Accenture, where I architected and implemented REST API services, developed AWS environments for production-grade big data systems, and designed serverless infrastructure for large-scale data collection. My earlier experience as a Data Scientist at SCS Expert involved creating sales forecasting systems and developing data engineering pipelines for a global pharmaceutical company. I also have a strong background in software engineering, having developed web applications and enforced TDD standards at Predica LLC. Additionally, my involvement in Kaggle competitions has further honed my skills in machine learning and natural language processing.

Tech Stack

DevOps, AWS, Bash, CI/CD, Docker, Git, Github, Jenkins, Kubernetes, Oracle, PL/SQL, PostgreSQL, Powershell, Python, Scala, Spark, SQL, T-SQL

Experience

  • Designing and implementing data engineering infrastructure for a data quality management system at a Global Manufacturing Company using technologies like Airflow, Spark, JFrog Artifactory, and AWS.
  • Developing an internal mentoring pipeline to enhance the technical and consulting competencies of team members in cloud and data engineering areas.
  • Leading DevOps/DataOps teams and coaching junior engineers on best practices and architectural patterns.
  • Creating and deploying REST API services to prepare and expose data from search engines for a Global Manufacturing Company, utilizing Kubernetes, Docker, Jenkins, Python, JFrog Artifactory, and Redis.
  • Developing serverless infrastructure for large-scale web data collection using AWS technologies like Lambda, DynamoDB, S3, and EventBridge.
  • Developing a sales forecasting system with data engineering pipelines, training machine learning models on time series data, and extracting data from file systems and relational databases with SQL.
  • Regularly presenting Proof of Value demos and software solutions to executive management and senior stakeholders.

Employment history

DevOps Architect/Team Leader, Accenture December 2021 - Present
  • Building and maintaining an internal mentoring pipeline for increasing technical and consulting competencies of team members in cloud and data engineering areas.
  • Architecting data engineering infrastructure for a data quality management system for a Global Manufacturing Company (Airflow, Spark, JFrog Artifactory, AWS).
  • Presenting Proof of Value demos for executive management.
  • Coaching junior engineers (up to 5 people) in best practices and architectural patterns.
DevOps Engineer, Accenture November 2020 - December 2021
  • Architecting and implementing REST API services for preparing and exposing data from search engines for a Global Manufacturing Company (Kubernetes, Docker, Jenkins, Python, JFrog Artifactory, and Redis).
  • Building AWS environment for the development of production-grade big data systems with EKS cluster as backbone using AWS CloudFormation templates (Kubernetes, Helm, Prometheus, Grafana, JupyterHub, Kafka).
  • Designing and developing AWS serverless infrastructure for collecting web data on a large scale (Lambda, DynamoDB, S3, EventBridge).
  • Presenting software demos to senior stakeholders.
Data Scientist, SCS Expert January 2020 - November 2020
  • Creating a sales forecasting system with data engineering pipelines for a global pharmaceutical company.
  • Training machine learning models on time series data.
  • Developing data engineering pipelines with PySpark on AWS.
  • Extracting data from file systems and relational databases with SQL.
  • Collecting new information and insights for presentation to business stakeholders.
Software Engineer, Predica LLC June 2019 - November 2019
  • Developing web applications for pharmaceutical and loan companies and enforcing TDD standards.
  • Collecting requirements for features requested by clients.
  • Designing CI/CD pipelines.
Machine Learning Competitions Expert, Kaggle November 2018 - Present
  • Designing a neural network (transformer architecture) for ranking Questions and Answers based on human-like perception of sentences (Google QUEST Q&A Labeling – Natural Language Processing Challenge).
  • Searching the shortest Hamiltonian Cycle in a dynamically changing system of distance penalties (Traveling Santa 2018 – Prime Paths – asymmetric Traveling Salesman Problem).
  • Utilizing tech stacks such as Tensorflow, Keras, BERT, Python, C++, and LKH in competition settings.

Education history

Warsaw School of Economics 2021 - Present MSc in Big Data
Warsaw School of Computer Science 2017 - 2021 BSc in Computer Science
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