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𝗔𝗕𝗢𝗨𝗧 𝗠𝗘
🚀 𝗠𝗬 𝗖𝗢𝗠𝗣𝗘𝗧𝗘𝗡𝗖𝗬.
🧠 𝗞𝗡𝗢𝗪𝗟𝗘𝗗𝗚𝗘 (𝗞).
- 𝑆𝑡𝑟𝑜𝑛𝑔 𝑓𝑜𝑢𝑛𝑑𝑎𝑡𝑖𝑜𝑛 𝑖𝑛 𝑑𝑎𝑡𝑎 𝑒𝑛𝑔𝑖𝑛𝑒𝑒𝑟𝑖𝑛𝑔 𝑝𝑟𝑖𝑛𝑐𝑖𝑝𝑙𝑒𝑠 (𝐸𝑇𝐿 𝑝𝑖𝑝𝑒𝑙𝑖𝑛𝑒𝑠, 𝐷𝐵 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑤𝑜𝑟𝑘𝑓𝑙𝑜𝑤 𝑜𝑟𝑐ℎ𝑒𝑠𝑡𝑟𝑎𝑡𝑖𝑜𝑛, 𝑑𝑎𝑡𝑎 𝑚𝑜𝑑𝑒𝑙𝑖𝑛𝑔 & 𝑠𝑐ℎ𝑒𝑚𝑎 𝑑𝑒𝑠𝑖𝑔𝑛).
- 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝑜𝑓 𝑑𝑎𝑡𝑎 𝑠𝑡𝑜𝑟𝑦𝑡𝑒𝑙𝑙𝑖𝑛𝑔 & 𝑠𝑒𝑙𝑒𝑐𝑡𝑖𝑛𝑔 𝑐ℎ𝑎𝑟𝑡 𝑚𝑜𝑑𝑒𝑙𝑠 𝑡𝑜 𝑒𝑓𝑓𝑒𝑐𝑡𝑖𝑣𝑒𝑙𝑦 𝑝𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠.
- 𝑄𝑢𝑎𝑛𝑡𝑖𝑡𝑎𝑡𝑖𝑣𝑒 & 𝑞𝑢𝑎𝑙𝑖𝑡𝑎𝑡𝑖𝑣𝑒 𝑑𝑎𝑡𝑎 𝑎𝑛𝑎𝑙𝑦𝑠𝑖𝑠 𝑒𝑥𝑝𝑒𝑟𝑡𝑖𝑠𝑒, 𝑎𝑝𝑝𝑙𝑦𝑖𝑛𝑔 𝑑𝑒𝑠𝑐𝑟𝑖𝑝𝑡𝑖𝑣𝑒, 𝑑𝑖𝑎𝑔𝑛𝑜𝑠𝑡𝑖𝑐 & 𝑝𝑟𝑒𝑑𝑖𝑐𝑡𝑖𝑣𝑒 𝑎𝑛𝑎𝑙𝑦𝑠𝑖𝑠 𝑡𝑒𝑐ℎ𝑛𝑖𝑞𝑢𝑒𝑠 𝑓𝑜𝑟 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠.
🛠 𝗦𝗞𝗜𝗟𝗟𝗦 (𝗦).
- 𝑃𝑟𝑜𝑔𝑟𝑎𝑚𝑚𝑖𝑛𝑔 𝐿𝑎𝑛𝑔𝑢𝑎𝑔𝑒𝑠. 𝑃𝑦𝑡ℎ𝑜𝑛 (3+ 𝑦𝑒𝑎𝑟𝑠), 𝐵𝑎𝑠ℎ.
- 𝑅𝑒𝑙𝑎𝑡𝑖𝑜𝑛𝑎𝑙 𝐷𝑎𝑡𝑎𝑏𝑎𝑠𝑒𝑠. 𝑀𝑆 𝑆𝑄𝐿 𝑆𝑒𝑟𝑣𝑒𝑟, 𝑀𝑦𝑆𝑄𝐿, 𝑃𝑜𝑠𝑡𝑔𝑟𝑒𝑆𝑄𝐿 (𝑓𝑜𝑟 𝑞𝑢𝑒𝑟𝑦𝑖𝑛𝑔, 𝑜𝑝𝑡𝑖𝑚𝑖𝑧𝑖𝑛𝑔, 𝑎𝑛𝑑 𝑚𝑎𝑛𝑎𝑔𝑖𝑛𝑔 - 2+ 𝑦𝑒𝑎𝑟𝑠)
- 𝐵𝑖𝑔 𝐷𝑎𝑡𝑎 & 𝑂𝑟𝑐ℎ𝑒𝑠𝑡𝑟𝑎𝑡𝑖𝑜𝑛. 𝑃𝑦𝑆𝑝𝑎𝑟𝑘 (𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑒𝑑 𝑑𝑎𝑡𝑎 𝑝𝑟𝑜𝑐𝑒𝑠𝑠𝑖𝑛𝑔 - 1+ 𝑦𝑒𝑎𝑟), 𝐴𝑖𝑟𝑓𝑙𝑜𝑤 (𝑤𝑜𝑟𝑘𝑓𝑙𝑜𝑤 𝑎𝑢𝑡𝑜𝑚𝑎𝑡𝑖𝑜𝑛), 𝐾𝑎𝑓𝑘𝑎 (𝑟𝑒𝑎𝑙-𝑡𝑖𝑚𝑒 𝑑𝑎𝑡𝑎 𝑠𝑡𝑟𝑒𝑎𝑚𝑖𝑛𝑔 - 1+ 𝑦𝑒𝑎𝑟)
⚡ 𝗔𝗕𝗜𝗟𝗜𝗧𝗜𝗘𝗦 (𝗔).
- 𝐴𝑠𝑠𝑖𝑠𝑡 𝑖𝑛 𝑑𝑒𝑠𝑖𝑔𝑛𝑖𝑛𝑔 & 𝑖𝑚𝑝𝑙𝑒𝑚𝑒𝑛𝑡𝑖𝑛𝑔 𝑠𝑐𝑎𝑙𝑎𝑏𝑙𝑒 𝑑𝑎𝑡𝑎 𝑝𝑖𝑝𝑒𝑙𝑖𝑛𝑒𝑠 𝑢𝑛𝑑𝑒𝑟 𝑚𝑒𝑛𝑡𝑜𝑟𝑠ℎ𝑖𝑝.
- 𝑆𝑢𝑝𝑝𝑜𝑟𝑡 𝑖𝑛 𝑑𝑒𝑏𝑢𝑔𝑔𝑖𝑛𝑔 𝑎𝑛𝑑 𝑡𝑟𝑜𝑢𝑏𝑙𝑒𝑠ℎ𝑜𝑜𝑡𝑖𝑛𝑔 𝑑𝑎𝑡𝑎 𝑤𝑜𝑟𝑘𝑓𝑙𝑜𝑤𝑠 𝑡𝑜 𝑒𝑛𝑠𝑢𝑟𝑒 𝑒𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑐𝑦 𝑎𝑛𝑑 𝑟𝑒𝑙𝑖𝑎𝑏𝑖𝑙𝑖𝑡𝑦.
📌 𝗢𝗧𝗛𝗘𝗥 𝗔𝗧𝗧𝗥𝗜𝗕𝗨𝗧𝗘𝗦 (𝗢). 𝑃𝑟𝑜𝑏𝑙𝑒𝑚-𝑠𝑜𝑙𝑣𝑖𝑛𝑔, 𝑡𝑒𝑎𝑚𝑤𝑜𝑟𝑘, 𝑎𝑑𝑎𝑝𝑡𝑎𝑏𝑖𝑙𝑖𝑡𝑦, 𝑎𝑡𝑡𝑒𝑛𝑡𝑖𝑜𝑛 𝑡𝑜 𝑑𝑒𝑡𝑎𝑖𝑙, 𝑠𝑝𝑒𝑐𝑖𝑎𝑙𝑖𝑧𝑎𝑡𝑖𝑜𝑛 & 𝑔𝑒𝑛𝑒𝑟𝑎𝑙𝑖𝑧𝑎𝑡𝑖𝑜𝑛.
📚 𝗠𝗬 𝗜𝗡𝗧𝗘𝗥𝗘𝗦𝗧
𝐼 𝑎𝑚 𝑝𝑎𝑠𝑠𝑖𝑜𝑛𝑎𝑡𝑒 𝑎𝑏𝑜𝑢𝑡 𝘀𝗵𝗮𝗿𝗶𝗻𝗴 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 & 𝑑𝑜𝑐𝑢𝑚𝑒𝑛𝑡𝑖𝑛𝑔 𝑚𝑦 𝑙𝑒𝑎𝑟𝑛𝑖𝑛𝑔 𝑗𝑜𝑢𝑟𝑛𝑒𝑦 𝑖𝑛 𝑡ℎ𝑒 𝑑𝑎𝑡𝑎 𝑓𝑖𝑒𝑙𝑑. 𝐼 𝑒𝑛𝑗𝑜𝑦 𝑤𝑟𝑖𝑡𝑖𝑛𝑔 𝑡𝑜 ℎ𝑒𝑙𝑝 𝑜𝑡ℎ𝑒𝑟𝑠 𝑛𝑎𝑣𝑖𝑔𝑎𝘁𝑒 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 & 𝗰𝗮𝗿𝗲𝗲𝗿 𝗴𝗿𝗼𝘄𝘁𝗵.
𝐹𝑒𝑎𝑡𝑢𝑟𝑒𝑑 𝑊𝑜𝑟𝑘𝑠 𝑖𝑛 𝐿𝑖𝑛𝑘𝑒𝑑𝐼𝑛.
- 𝑂𝑛𝑙𝑖𝑛𝑒 𝐴𝑠𝑠𝑒𝑠𝑠𝑚𝑒𝑛𝑡 𝐻𝑎𝑐𝑘𝑒𝑟𝑅𝑎𝑛𝑘 𝑅𝑒𝑝𝑜𝑟𝑡 – 𝐷𝑎𝑡𝑎𝑏𝑎𝑠𝑒 𝑄𝑢𝑒𝑠𝑡𝑖𝑜𝑛𝑠 𝐹𝑜𝑟 𝐷𝑎𝑡𝑎 𝐸𝑛𝑔𝑖𝑛𝑒𝑒𝑟(𝑖𝑛𝑔). 𝐴 𝑃𝑜𝑠𝑡𝑔𝑟𝑒𝑆𝑄𝐿-𝑓𝑜𝑐𝑢𝑠𝑒𝑑 𝑔𝑢𝑖𝑑𝑒 𝑤𝑖𝑡ℎ 𝑠𝑡𝑒𝑝-𝑏𝑦-𝑠𝑡𝑒𝑝 𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛𝑠 𝑓𝑜𝑟 𝐻𝑎𝑐𝑘𝑒𝑟𝑅𝑎𝑛𝑘 𝐷𝐵 𝑎𝑠𝑠𝑒𝑠𝑠𝑚𝑒𝑛𝑡𝑠.
- 𝑃𝑟𝑒𝑝𝑎𝑟𝑎𝑡𝑖𝑜𝑛 𝐹𝑜𝑟 𝐴𝑝𝑝𝑙𝑦𝑖𝑛𝑔 𝐽𝑜𝑏𝑠. 𝐼𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑖𝑛𝑡𝑜 𝑡ℎ𝑒 ℎ𝑖𝑟𝑖𝑛𝑔 𝑝𝑖𝑝𝑒𝑙𝑖𝑛𝑒 𝑓𝑜𝑟 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑒𝑟𝑠, 𝑓𝑟𝑜𝑚 𝑤𝑟𝑖𝑡𝑖𝑛𝑔 𝐶𝑉 𝑡𝑜 𝑛𝑒𝑔𝑜𝑡𝑖𝑎𝑡𝑖𝑛𝑔 𝑎𝑛 𝑜𝑓𝑓𝑒𝑟.
- 𝐷𝑎𝑡𝑎 𝐸𝑛𝑔𝑖𝑛𝑒𝑒𝑟 𝑅𝑜𝑎𝑑𝑚𝑎𝑝. 𝐴 𝑠𝑡𝑟𝑢𝑐𝑡𝑢𝑟𝑒𝑑 𝑁𝑜𝑡𝑖𝑜𝑛 𝑔𝑢𝑖𝑑𝑒 𝑜𝑛 𝑤ℎ𝑎𝑡 𝑡𝑜 𝑙𝑒𝑎𝑟𝑛 𝑡𝑜 𝑏𝑢𝑖𝑙𝑑 𝑎 𝑐𝑎𝑟𝑒𝑒𝑟 𝑖𝑛 𝐷𝐸.
𝗚𝗥𝗔𝗗𝗨𝗔𝗧𝗘𝗗 𝗜𝗡
𝗚𝗜𝗧𝗛𝗨𝗕 𝗦𝗧𝗔𝗧𝗦 📈
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