One of the most common issues in many organizations and data teams is a messy and disorganized Data Warehouse. This problem usually develops over time due to rapid team growth, evolving analytics needs, onboarding new members without proper documentation, and an increase in temporary projects. The result? A chaotic data warehouse with inconsistent structures, duplicate…
A few weeks ago, in the chaos of war and crisis, I talked to you about the importance of backups. From pg_dump and mysqldump to mongoexport and rsync; about how we can prevent data loss during critical situations. Now that things have calmed down a bit, it’s time to revisit the topic. In the previous…
To be honest, these days, with the constant sound of explosions echoing from all corners of the country, I don’t feel well—and writing a new blog post is the last thing on my mind.But given the terrible situation we’re in and the urgent need to create backups of data stored on servers—or even keep them…
Data is the lifeblood of organizations. Yet, throughout my career, I’ve often encountered the reality that having data alone isn’t enough. What truly matters is how we organize and effectively use that data. This is where the art and science of data modeling come into play. Data modeling isn’t just a technical process—it’s a deep,…
In today’s world—where data is the beating heart of smart decision-making—the right question can completely shift the direction of an organization. If you’re a manager or business owner, you likely face a mountain of data every day. But the real question is:Is the problem a lack of data—or are we just asking the wrong questions?…
Let’s be real. Running a small business is no joke. You’re juggling sales, customer satisfaction, team morale, and a thousand other spinning plates. Every dollar counts. And yet—you might be leaking money without even realizing it. I’m not talking about the obvious stuff like bad hiring or over-ordering inventory. I’m talking about subtle, silent budget…
You’re probably dealing with a ton of big and small tasks in the exciting world of startups, just like many of us. From collecting customer data to updating the website and sending out newsletters, there’s a lot that needs to get done on time and correctly for your startup engine to run smoothly. When these…
Six months ago, I became the lead of our data team. Before that, I was deeply technical — writing ETL pipelines, building internal tools, automating everything I could get my hands on. I loved the focus, the flow, the satisfaction of solving hard problems. Leadership, I thought, would just be “tech plus meetings.” I was…
From Python scripts and cron jobs to Dockerized ETL services and Apache Airflow orchestration—this guide walks through my journey of building scalable data pipelines with real-world lessons. Perfect for data engineers and beginners alike!
Want to become a top-tier data engineer? Mastering SQL, Python, data modeling, distributed data processing, and orchestration is key! In this post, I’ll break down the essential skills every data engineer needs to build scalable, efficient data pipelines. Whether you’re just starting or leveling up, these skills will shape your career!
