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_special_ ✨ repository because its `README.md` (this file) appears on your GitHub profile.\n\nHere are some ideas to get you started:\n\n- 🔭 I’m currently working on ...\n- 🌱 I’m currently learning ...\n- 👯 I’m looking to collaborate on ...\n- 🤔 I’m looking for help with ...\n- 💬 Ask me about ...\n- 📫 How to reach me: ...\n- 😄 Pronouns: ...\n- ⚡ Fun fact: ...\n--\u003e\n\n🌱 I’m currently learning\n\nIt's August 2025, so for me it's **in-depth DATA ENGINEERING** ❤️ time:\n\n- big data processing with Apache Spark\n- creating a Data Lakes with AWS (data partitioning, EMR serverless, Spark jobs, parquet data format, data catalogs)\n- implementing Data Pipelines with Apache Airflow (architecture, Airflow DAG, data validations, sensors, data ingestion, advanced DAGs)\n- machine learning with Spark ML (data pipelines, training a model)\n- AI with data engineering (LLMs, HuggingFace)\n- real-time data processing (stream processing) with Apache Kafka\n- stream processing with Apache Flink\n\n... and still on track with **Angular 20**:\n\n- new features in templates\n- asynchronous redirect function\n- abort redirection\n- NgComponentOutlet new features\n- Input, Output Bindings and directives support for dynamically created components\n- keepalive support for fetch requests\n- Signal Forms and Selectorless Components\n\n**AWS**\n\n- learning various topic about Amazon Web Services\n  - EMR (managed hadoop framework)\n  - AWS GLUE (serveless data integration service)\n  - S3 (scalable storage)\n  - Athena (serveless interactive analytics service)\n\n**AI**:\n\n- AI SDK by Vercel using Anthropic\n\n🔎 Where to find me:\n\n- [LinkedIn](https://www.linkedin.com/in/lukaszskowron/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegocentryk%2Fegocentryk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fegocentryk%2Fegocentryk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegocentryk%2Fegocentryk/lists"}