Data & Software Engineer with a focus on building end-to-end data solutions. Currently completing my Data Engineering degree while specializing in AI and Big Data. I combine expertise in data pipeline development, machine learning operations, and full-stack development to create scalable, data-driven applications. Passionate about automation, infrastructure as code, and implementing modern data architectures.
- Languages: Python, R, Scala
- Data Processing: Pandas, Polars, Custom Data Processing Framework
- Data Pipeline: DBT, Data Modeling, ETL/ELT
- Workflow Orchestration: Apache Airflow
- Business Intelligence: Data Analysis, Data Visualization
- Frameworks: TensorFlow, PyTorch
- API Development: FastAPI
- Model Deployment: ML Pipeline Design, Model Serving
- SQL: PostgreSQL, MySQL, Microsoft SQL Server
- NoSQL: MongoDB, Redis
- Data Modeling: Database Architecture, Schema Design
- Containerization: Docker
- Monitoring Stack:
- Grafana, Prometheus, cAdvisor
- ELK Stack (Elasticsearch, Logstash, Kibana)
- CI/CD:
- GitHub Actions
- Bitbucket Pipelines
- Jenkins
- Cloud Platforms:
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Microsoft Azure
- Infrastructure: Terraform, Server Management
- Mobile: Flutter (iOS & Android)
- Web: TypeScript, JavaScript
- Version Control: Git
- IDEs:
- VS Code
- IntelliJ IDEA
- CLion
- DataSpell
- PyCharm
- SQL Tools:
- SQL Pro Studio
- DataGrip
- SQL Server Management Studio
- Azure Data Studio
- Plex Stack:
- Core: Plex Media Server
- Management: Radarr, Sonarr, Readarr
- Utilities: Overseerr, Prowlarr, Bazarr, qBittorrent
- Bot Development: Discord Bots (TypeScript)
- Automation: Shell Scripting, Process Automation