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Discover our best selves

Introduction Here’s what nobody tells you about: your biggest blind spot isn’t your technical weaknesses—it’s your strengths. That sounds weird doesn’t it. Most of us can recite our shortcomings on command, yet we struggle to articulate what we’re genuinely good at. This isn’t just modesty. It’s a fundamental quirk of human psychology that keeps us from reaching our full potential. The Reflected Best Self Portrait exercise, developed by researchers at the University of Michigan’s Ross School of Business, flips this script entirely. Instead of the usual deficit-focused approach (“here’s what you need to fix”), it asks a radical question: what if we built our careers around who we are when we’re at our absolute best? For data professionals navigating an industry that’s constantly evolving—where yesterday’s cutting-edge tool becomes today’s legacy system—this approach isn’t just refreshing. It’s essential.

  • Strengths
  • Self-Awareness
  • Career Development
  • Data Leadership
  • Professional Growth
Saturday, November 1, 2025 Read
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Your First 90 Days as a Data Engineer: A Strategic Guide

Introduction Landing your first data engineering role—or starting at a new company—is both exhilarating and daunting. After navigating multiple interviews and accepting an offer, you’ve finally arrived at your desk with a new laptop and company swag (if your lucky). Even now, after solving countless problems ranging from minor bugs to enterprise-scale data challenges, I still occasionally feel that flutter of uncertainty in my stomach, when starting a new role. What if I don’t know what I’m doing? What if I make a mistake?

  • Onboarding
  • Professional Growth
  • Team Collaboration
  • Career Advice
  • Data Culture
Sunday, February 23, 2025 Read
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Mastering Data Engineering: Insights and Best Practices

Introduction I have been working with Data for a bit over 17 years now, I have seen it evolve from its nascent stages to a cornerstone of the tech industry. The journey has been nothing short of revolutionary, impacting businesses and society at large. The evolution and the role of a data engineer have expanded, requiring not just technical skills, but a deep understanding of business, security, and the human element within technology.

  • Culture
  • Continuous Learning
  • Data Quality
  • Professional Growth
  • Data Pipeline
  • Data System Resilience
  • Team Collaboration
Saturday, March 30, 2024 Read