Norbert Wodzinski

Designed and implemented ETL pipelines in Python and SQL to automate data ingestion and transformation across business-critical systems. Built microservices with C#/.NET Core, ASP.NET, Java Spring Boot, and Hibernate to support internal apps and RESTful APIs. Developed Flask and FastAPI backends to expose internal services and real-time data access. Optimized PostgreSQL queries to accelerate data processing and improve storage efficiency. Created PyQt-based desktop tools for data visualization and reporting used by business users. Evaluated Snowflake features for performance, storage optimization, and cost efficiency. Implemented data integration pipelines (DBT, Fivetran) to consolidate multiple data sources. Worked with engineering and product teams to align technical solutions with business requirements and implemented role-based access control in Snowflake. Deployed infrastructure with Terraform and managed CI/CD workflows. Containerized applications with Docker and maintained repro

Developed CRM and internal tooling using C# (.NET Core) and Java (Spring Boot) with secure APIs and user access controls. Automated data pipelines on AWS (Lambda, S3, Glue) and integrated REST APIs with PyQt-based reporting dashboards. Tuned SQL queries for large datasets and optimized data storage. Implemented containerization and CI/CD pipelines; collaborated with cross-functional teams to deliver features on time.

Developed RESTful APIs for sensor data integration with analytics platform; built Python/PyQt data processing and real-time visualization features; back-end services in Java (Spring Boot) with Hibernate; implemented AWS services for data storage and streaming; performed SQL tuning for PostgreSQL; containerized services with Docker and Kubernetes; contributed to CI/CD using Jenkins and Azure DevOps.