Hi everyone 👋,
I’m Shagun Khandelwal, currently working as a Big Data Engineer at Infosys with 3 years of experience in the data engineering space. Over the years, I’ve had the opportunity to work with large-scale data pipelines, distributed systems, and modern platforms that make handling terabytes of data efficient and impactful.
💡 Data engineering is the backbone of modern data-driven companies. While Data Science and AI get most of the spotlight, it’s the data engineering layer that ensures data is accessible, reliable, and scalable.
That’s why I’ve decided to start a series where I’ll be sharing my learnings, practical tips, and deep dives into different tools, frameworks, and platforms that every data engineer should know.
What you can expect in this series:
🔹 Basics of Data Engineering & its role in modern organizations
🔹 Hands-on insights into tools like PySpark, Kafka, Airflow, Hadoop, Databricks, and Cloud Platforms (Azure/GCP/AWS)
🔹 Best practices for scalability, optimization, and performance tuning
🔹 Real-world use cases from my professional experience
This series is meant for aspiring data engineers, data enthusiasts, and professionals who want to get practical knowledge of how things work in real-world projects.
Stay tuned — the first post will be dropping soon!
Follow me here so you don’t miss out 🙂
Let’s learn and grow together! 🌱
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