Abhisek Sahu's Recent LinkedIn Posts

Google took 9 years. Facebook took 8. Instagram took 6. ChatGPT did it in 3. 1 billion monthly active users. Not a tech milestone. A civilisation milestone. Here's what that number actually means: 1 billion users is larger than: ↳ Every country in Europe combined ↳ North and South America combined ↳ Every Netf…

The cloud changes. The data engineering architecture stays surprisingly familiar. Whether you build on AWS, Azure, or GCP, the same core layers appear again and again: Ingestion. Storage. Processing. Orchestration. Warehousing. Serving. Here is how the three major cloud platforms map across the modern data lifec…

Learn Python through real analysis. Trying to master every library before working with data usually creates more confusion than progress. For Data Analysts, the better approach is to start with three core tools and apply them to a dataset you actually care about. Here is the Python starter kit every aspiring Data…

Google took 9 years. Facebook took 8. Instagram took 6. ChatGPT did it in 3. 1 billion monthly active users. Not a tech milestone. A civilisation milestone. Here's what that number actually means: 1 billion users is larger than: ↳ Every country in Europe combined ↳ North and South America combined ↳ Every Netf…

Data engineering is a continuous system. A reliable data platform does not begin and end with moving data between tools. It depends on how every stage connects, from planning and ingestion to governance, monitoring, and delivery. The workflow starts with planning. Teams define requirements, map dependencies, and…

The cloud changes. The data engineering architecture stays surprisingly familiar. Whether you build on AWS, Azure, or GCP, the same core layers appear again and again: Ingestion. Storage. Processing. Orchestration. Warehousing. Serving. Here is how the three major cloud platforms map across the modern data lifec…