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Nobody tells you this about becoming a data engineer: You think your job will be: writing SQL, building pipelines, coding all day Reality? It’s more like talking to business stakeholders who don’t really know what they want, figuring out what data product they actually need, translating vague ideas into real systems, building something… then changing it 3 times. On top of that:, fixing broken pipelines and issues (almost everyday), dealing with messy, inconsistent data, debugging systems instead
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Oracle laid off thousands of American workers but is now requesting thousands of H 1B visas for foreign workers. This raises a bigger question about whether companies are cutting jobs or just replacing workers with cheaper labor. As costs of living continue to rise, many Americans are struggling to stay employed while corporations continue reporting record profits. This is not just about Oracle. This is about a growing trend affecting American workers across industries. #layoffs #oracle #h1b
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Oracle's recent layoffs of 30,000 employees, including many H-1B visa holders, highlight a troubling trend in tech. With AI advancements, companies like Oracle are investing big but cutting jobs. What does this mean for workers? Let's discuss! #oracle #layoff #Visa #engineers #jobs #AI #technews #employment #H1B
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Want to become a Data Analyst? Here’s the full roadmap: 📊 Excel → tables, filters, charts, pivot tables 🗄 SQL → databases, schemas, queries 🐍 Python → basics, pandas, matplotlib 📈 Power BI or Tableau → dashboards & data visualization 📖 Storytelling with data → turn insights into impact 💼 Portfolio → resume, GitHub, LinkedIn optimization 🎯 Interviews → behavioral SQL Excel take-home practice 🔎 Job portals → LinkedIn, Indeed, ZipRecruiter No gatekeeping. Just skills execution. If you’re se
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