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.
I combine experience in software development, analytics, and cloud to deliver modern, end-to-end data platforms.
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: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.
📌 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
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.
I was part of a small, high-performing development team responsible for building CloudIAM, a …
As part of a compact, agile team, I led key engineering efforts in migrating legacy databases to AWS …
At KONE, one of the world’s leading manufacturers in the elevator and escalator industry, I …