London Area, United Kingdom
Sunjana is a 2x founder, Software(Data&AI) Engineer and a Content Creator with a passion for helping jobseekers and early career data professionals break into the field. She leads the following initiatives : → 🌱DataDrooler Community : Encouraging Early Career Talent to collaborate and build impactful data projects. 🔗 www.datadrooler.com → JotterWolf : A CRM Tool for Job Seekers to track and manage job applications. ✨ Featured @Columbia StartUp Lab , Wiggin & Dana Fellowship , Microsoft For StartUps 🔗 www.jotterwolf.com → YouTube @SunjanaInData : Shares knowledge on DataEng and AI Sunjana graduated from Columbia University in Dec 2022 with a Masters in EE specializing in Data&AI. She currently works as Software Engineer at QBE Insurance in New York. In her role, she works at the intersection of Data Engineering and AI and focuses on designing end-to-end data solutions using the Azure Tech Stack for various business requirements. In her free time, Sunjana enjoys gardening, painting, and baking. As an INFJ, she is dedicated to creating meaningful impact in both her professional and personal endeavors.
I'm one of the 80 (out of 5000) to get in - less than 2% acceptance rate.
Data Drooler is a hands-on data engineering cohort focused on real-world learning. Instead of getting stuck in tutorials, you build three practical data engineering projects that reflect how data systems are actually built and used in industry. You’ll work with tools commonly used by data teams, including AWS, Azure, Databricks, Airflow, and more. This cohort is for: - Entry-level professionals breaking into data engineering - Data analysts transitioning into data engineering roles - People from other technical backgrounds moving into data engineering The goal is straightforward: Build real pipelines, understand the fundamentals, and leave with projects you can confidently talk about. Sign-ups are open for the next Data Drooler cohort.