Hi, I'm

Nikodem.

Building Data Systems That Think and Scale

I combine experience in software development, analytics, and cloud to deliver modern, end-to-end data platforms.

My Unique Edge

I’m a cloud and data engineer with a rare combination of business understanding, data infrastructure skills, and software development experience.

My career started in analytics, working as a Tableau reporting analyst. That gave me direct exposure to how data supports business decisions. From there, I moved into backend engineering — first as a data engineer at a bank, then as a consultant at PwC, where I worked on large-scale cloud data projects.

Now, as a cloud developer building AWS Marketplace product, I focus more on software architecture, abstract coding, and integration — allowing me to contribute across the stack, not just in data.

This end-to-end perspective — from reporting to infrastructure to dev — lets me design platforms that are not only scalable and cloud-native, but also practical and user-focused.

In my free time, I’m exploring machine learning and IoT — continuing to connect data with the real world.

Tech:
  • AWS (Data, ML, GenAI, Costs optimization, Serverless)
  • Machine Learning (Sagemaker, Bedrock)
  • Python (FastAPI, OOP, Pydantic)
  • Data Engineering (Glue, Athena, Kafka/MSK, DMS, Sagemaker)
  • Infrastructure as Code (Terraform, CDK)
  • Dev Tools (Docker, GitLab CI/CD, AzureDevOps)
  • Data Visualization (Tableau, Quicksight)

Experience

Cloud Developer - Tameshi
Jan 2025 - present

I am currently working as a cloud developer at AWS CEE Partner of the year - Tameshi. I am part of small developers team responsible for CloudIAM, a cloud-native infrastracture and access management platform listed on AWS Marketplace.

  • Built and enhanced backend features using Python and FastAPI, following a hexagonal architecture with a clear separation of domain logic and adapters.
  • Frequently optimized API endpoints and database repository methods to improve performance, scalability, and maintainability.
  • Worked extensively with AWS services including EC2, Lambda, ECS, Aurora, Step Functions, and SSM.
  • Used Docker, Git, and GitLab for development and version control within a collaborative core team.
  • Contributed to infrastructure as code using Terraform, helping define and manage cloud resources in a consistent, versioned way.
  • Regularly involved in debugging, issue resolution, and refining core domain logic in a production SaaS environment.
Cloud Data Engineer - PwC
Oct 2023 - Dec 2024

📌 Real-Time Data Movement Platform – KONE

Served as a core engineer on a global project replacing Mulesoft with a serverless AWS-based DML system, processing over 3 million events daily across 200+ integrations.

Key contributions:

  • Built event-driven integrations using AWS serverless services and infrastructure-as-code (CDK)

  • Designed and implemented APIs and pub/sub patterns with high reliability and low latency

  • Ensured observability, security, and scalability using IAM, CloudWatch, WAF, VPC, Secrets Manager

  • Led demos and discussions with stakeholders; supported junior team members

  • Actively contributed to architecture and design decisions in a fast-paced, international environment

📌 Enterprise Data Lake & Migration Project – US Manufacturing Client

Worked in a small, agile team focused on migrating legacy data systems to AWS and implementing a robust Medallion architecture (bronze, silver, gold layers) to support structured analytics and reporting.

Key contributions:

  • Migrated legacy databases using AWS DMS and automated pipelines with Glue and Step Functions

  • Designed end-to-end data workflows integrating S3, Glue, Athena, and Lake Formation

  • Translated complex Alteryx logic into scalable AWS-native transformations

  • Enabled cost-efficient and secure data processing with optimized resource use and IAM policies

Data Engineer - Natwest
May 2022 - Sep 2023
  • Created and automated ETL processes using AWS S3, EventBridge, Glue, and Athena to extract, transform, and load data into Tableau dashboards.

  • Developed Python based desktop GUI applications for efficient data integration and business process automation, connecting multiple data sources and automating diverse tasks.

  • Utilized Glue’s ETL capabilities to transform raw data into optimized parquet files, improving data querying performance in Athena.

Reporting Analyst - Cheil
May 2021 - Apr 2022
Tech Stack: Tableau, Python, SQL

Education

2016 - 2022
Bachelor of Science - Mechanical Engineering
Warsaw University of Technology
Spiecialization: Computer support of engineering works.

Commercial Projects

Cloud IAM Platform for AWS Marketplace
Cloud IAM Platform for AWS Marketplace

I was part of a small, high-performing development team responsible for building CloudIAM, a …

Data Migration with Medalion Architecture
Data Migration with Medalion Architecture

As part of a compact, agile team, I led key engineering efforts in migrating legacy databases to AWS …

Enterprise Data Integration for KONE
Enterprise Data Integration for KONE

At KONE, one of the world’s leading manufacturers in the elevator and escalator industry, I …

Get in Touch

My inbox is always open. Whether you have a question, a project in mind, or just want to say hi, I’ll do my best to get back to you as soon as I can! Feel free to reach out to me directly or via the form below.