Rohanbs.com

Career Guidance, Resume Review, and Preparation Tips With 20 years of IT experience in data engineering, I know what it takes to build a successful career in the ever-evolving data industry. But beyond my technical expertise, my real passion lies in helping job seekers like you land the roles you truly deserve. I understand the challenges of navigating the job market—the uncertainty, the competition, and the constant demand for upskilling. That’s why I offer personalized guidance based on the latest hiring trends, ensuring you’re not just another applicant but a top candidate. Whether you're starting fresh, transitioning careers, or aiming for the next big step in data engineering, I can help you with: ✅ Resume Optimization – Crafting a resume that speaks to recruiters and hiring managers. ✅ LinkedIn Profile Revamp – Making your profile a magnet for job opportunities. ✅ Mock Interviews & Coaching – Helping you ace technical and behavioral interviews. ✅ Job Market Insights – Sha...

Feature/Aspect Talend Databricks Integration Approach Open source with both free and paid versions available. Proprietary platform for big data analytics and AI. Cost Generally more cost-effective, especially for small to medium-sized businesses. Pricing may be higher, but it provides a comprehensive big data analytics platform. Ease of Use Has a user-friendly, Eclipse-based Studio for designing ETL processes. Uses a visual drag-and-drop interface. Offers a collaborative environment with notebooks for data engineering and machine learning tasks. Connectivity Supports a wide range of connectors and integrations, including cloud services and big data platforms. Integrates seamlessly with various big data and cloud services. Native support for Apache Spark. Scalability Well-suited for small to medium-sized projects, but may face challenges with extremely large datasets. Built on Apache Spark, designed for scalability and handling large-scale data processing. Deployment Options Supports on...

  Feature/Aspect Talend Informatica Integration Approach Open source with both free and paid versions available. Proprietary with a focus on enterprise solutions. Cost Generally more cost-effective, especially for small to medium-sized businesses. Typically more expensive, targeted at larger enterprises. Ease of Use Has a user-friendly, Eclipse-based Studio for designing ETL processes. Uses a visual drag-and-drop interface. Known for its user-friendly interface, making it easy for both developers and business users. Connectivity Supports a wide range of connectors and integrations, including cloud services and big data platforms. Extensive connectivity options, including a variety of databases, cloud services, and mainframes. Scalability Well-suited for small to medium-sized projects, but may face challenges with extremely large datasets. Designed for scalability, making it suitable for handling large and complex enterprise-level data integration. Deployment Options Supports on-pre...