Back

🟦 Part 1: Data Extraction – Starting the ETL Pipeline 🚀 Welcome to Part 1 of my Azure-based ETL project series! In this part, I walk through how to extract raw data from a GitHub link and load it into Azure Data Lake (Gen2) using Azure Data Factor

Open to Azure Data Engineer roles 3+ years of experience in data domain with strong skills in Azure Data Factory, Synapse, SQL, and Power BI. Microsoft Certified – DP-900 Please let me know if there are any suitable openings. #AzureDataEngineer #Ope

looking for experienced Data Engineers/Data Analysts(2+ work years) to immediately join our India Team (Gurgaon with Hybrid model) Skills Required: SQL, Python, Pyspark, Azure Databricks, Azure DevOps, Building Data Pipelines, Data Warehousing, Dat

Hiring for Data Engineers with Data warehousing experience with Azure cloud experience (2-7) years. This will be a Hybrid role and for Hyderabad location.

A great flow chart to understand how a Modern Data Pipeline works.

Introducing Apployd DB: Next-Generation Serverless PostgreSQL We're excited to announce Apployd DB, our modern serverless PostgreSQL platform designed to revolutionize how developers work with databases. 🚀 After extensive development and testing,

🚀 Level Up Your Skills for FREE! Whether you're a student, professional, or lifelong learner—these curated courses are your gateway to growth in tech, data, and business. 🎓 Explore top-tier content in: 1. Artificial Intelligence + Data Analyst

As a backend engineer. You should learn: - System Design (scalability, microservices) -APIs (REST, GraphQL, gRPC) -Database Systems (SQL, NoSQL) -Distributed Systems (consistency, replication) -Caching (Redis, Memcached) -Security (OAuth2, JWT

Setting up a back up pipeline, when my local server crashes, it'll trigger the Azure App Service to bring back the App. Idk, sounds tricky, but do-able #fingerscrossed 🤞🏻🫰🏻

Hi Team, This is my 1st post I am currently working as MS Azure Data engineer. I want to know roadmap to become data scientist in future.