Data Engineers❤️

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Perfect channel for Data Engineering. 𝗜 𝗵𝗮𝘃𝗲 𝗽𝗿𝗲𝗽𝗮𝗿𝗲𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗻𝗲𝗿𝘀. 𝗚𝗲𝘁 𝗔𝘇𝘂𝗿𝗲 𝗴𝘂𝗶𝗱𝗲 𝗵𝗲𝗿𝗲: https://lnkd.in/gPU_wSUv 𝗚𝗲𝘁 𝗔𝗪𝗦 𝗴𝘂𝗶𝗱𝗲 𝗵𝗲𝗿𝗲: https://lnkd.in/g8sk4X3w Key Tools for Data Engineers: 1. SQL – Querying databases 2. Python – Scripting pipelines 3. Pyspark – Distributed processing 4. Apache Kafka – Real-time streaming 5. Airflow – Workflow orchestration 6. dbt (Data Build Tool) – SQL transformations 7. AWS / GCP / Azure – Cloud platforms 8. Snowflake – Cloud warehouse 9. BigQuery – Serverless analytics 10. Databricks – Unified analytics 11. PostgreSQL / MySQL – Relational databases 12. Delta Lake – ACID data lakes 13. Hive / Presto / Trino – SQL on lakes 14. Docker – App containerization 15. Terraform – Infrastructure automation 16. Kubernetes – Container orchestration 17. Git – Version control Data Engineering can be used for: - Building Data Pipelines - ETL/ELT Processes - Data Warehousing - Real-Time Data Streaming - Data Lake Architecture - Cloud Data Engineering (AWS/GCP/Azure) - Big Data Processing with Spark/Hadoop - Batch & Stream Processing - Workflow Orchestration (Airflow, Prefect) - Data Quality & Validation - Data Integration across Sources - Analytics Engineering (with dbt) - Metadata Management & Lineage - Data Security & Governance - Preparing Data for Machine Learning Tech Experts from All Over the World Are Here! 🇮🇳 India 🇨🇳 China 🇺🇸 United States 🇮🇩 Indonesia 🇳🇬 Nigeria 🇧🇷 Brazil 🇧🇩 Bangladesh 🇷🇺 Russia 🇪🇹 Ethiopia 🇵🇭 Philippines 🇲🇽 Mexico 🇯🇵 Japan 🇪🇬 Egypt 🇻🇳 Vietnam 🇨🇩 DR Congo 🇹🇷 Turkey 🇮🇷 Iran 🇩🇪 Germany 🇹🇭 Thailand 🇬🇷 United Kingdom 🇮🇶 Iraq 🇿🇦 South Africa 🇲🇾 Malaysia 🇺🇦 Ukraine 🇰🇷 South Korea 🇷🇴 Romania 🇨🇴 Colombia 🇧🇪 Belgium 🇮🇱 Israel 🇦🇺 Australia 🇲🇻 Myanmar 🇰🇪 Kenya 🇸🇦 Saudi Arabia 🇦🇷 Argentina 🇺🇿 Uzbekistan 🇳🇱 Netherlands 🇫🇷 France 🇲🇾 Malaysia 🇸🇾 Syria 🇪🇨 Ecuador 🇵🇱 Poland 🇩🇴 Dominican Republic 🇺🇾 Uruguay 🇪🇸 Spain 🇮🇹 Italy 🇩🇰 Denmark 🇸🇮 Slovenia 🇲🇰 North Macedonia 🇱🇻 Latvia 🇱🇹 Lithuania 🇳🇴 Norway 🇧🇬 Bulgaria 🇪🇪 Estonia