I am Parham Barazesh
Senior Software and Data Engineer
About me
With over a decade of experience rooted in scientific programming, I specialize in architecting scalable, data-intensive software solutions for the Norwegian tech sector. My expertise lies at the intersection of Cloud-Native Architecture, Advanced Data Engineering, and Machine Learning.
I bridge the gap between complex algorithmic challenges and production-grade software. From designing proprietary Master Data Management (MDM) platforms and Reverse ETL pipelines to engineering Computer Vision systems for infrastructure analysis, I build systems that turn raw data into strategic assets.
Core Architectural Focus:
- Cloud-Native Systems: Designing microservices and distributed systems on Azure, utilizing Kubernetes/Docker for orchestration and resilience.
- Data Engineering: Orchestrating high-throughput pipelines (Kafka, Event Hubs, Airflow) and modern data warehousing (Snowflake, Reverse ETL).
- Scientific Computing & AI: Implementing predictive maintenance models, geospatial analytics, and deep learning workflows (TensorFlow/Keras).
Technical Toolbox:
- Languages: Python (Expert), C#, JavaScript/TypeScript, Bash.
- Web: Django, FastAPI, Flask, ASP.NET.
- Data: Snowflake, Airflow, Kafka, Azure Event Hubs, CCloud, Azure Data Factory, Sesam, PostgreSQL, MongoDB
- Ops: Kubernetes, Docker, Azure, CI/CD, Linux.
I bridge the gap between complex algorithmic challenges and production-grade software. From designing proprietary Master Data Management (MDM) platforms and Reverse ETL pipelines to engineering Computer Vision systems for infrastructure analysis, I build systems that turn raw data into strategic assets.
Core Architectural Focus:
- Cloud-Native Systems: Designing microservices and distributed systems on Azure, utilizing Kubernetes/Docker for orchestration and resilience.
- Data Engineering: Orchestrating high-throughput pipelines (Kafka, Event Hubs, Airflow) and modern data warehousing (Snowflake, Reverse ETL).
- Scientific Computing & AI: Implementing predictive maintenance models, geospatial analytics, and deep learning workflows (TensorFlow/Keras).
Technical Toolbox:
- Languages: Python (Expert), C#, JavaScript/TypeScript, Bash.
- Web: Django, FastAPI, Flask, ASP.NET.
- Data: Snowflake, Airflow, Kafka, Azure Event Hubs, CCloud, Azure Data Factory, Sesam, PostgreSQL, MongoDB
- Ops: Kubernetes, Docker, Azure, CI/CD, Linux.
Top Skills
Software Development
Python, C#, Database Design (relational and non-relational), Cloud development (Azure, GCP, AWS), Web technologies (HTML, CSS, JS, Bootstrap, React, Django, ASP.Net), Web APIs (Django Rest Framework, Flask, Fast API), Microservice architecture, Containerization (Docker & Kubernetes), CI/CD Pipeline
Data Engineering
Data Platforms & Warehousing, ETL / ELT & Orchestration, Big Data & Processing, Databases, Streaming & Messaging, Apache Spark, Airflow, Kafka, Snowflake, SQL, NoSQL, Docker, Kubernetes, Python, SQL
Data Science
Python/Matlab, Supervided & Unsupervised Learning, Numpy/Pandas/Scikit Learn, SciPy, ANN, CNN, Big data, Data Visualization (Matplotlib, D3.js, Plotly)
Numerical Simulation
Matlab, Python, Math, Differential equations