Stepping into the realm of data engineering can be a formidable journey, marked by complex technologies and intricate workflows. This episode of "The Starlight Podium" features Kushagra Jaiswal, a seasoned Data Engineer with profound expertise in Google Cloud Platforms, currently consulting at Deloitte, USA. His unique journey from infrastructure to data engineering provides a wealth of knowledge for those eager to explore this critical area of data science.

In This Episode: Kushagra unfolds the intricacies of data engineering, from the initial steps in the career path to mastering the technologies that drive today's data solutions. He discusses the transition from traditional infrastructure roles to advanced data engineering, highlighting the essential skills and tools necessary for success in the field.

Tune In If You're Wondering:

• What are the foundational skills required for a career in data engineering?
• How does one transition from IT infrastructure to data engineering?
• What role do cloud platforms play in modern data engineering?
• How can you build practical data engineering projects to enhance learning?
• What insights do career transitions within data roles offer for aspiring engineers?

Kushagra also sheds light on the integration of DevOps practices into data engineering, illustrating how a deep understanding of cloud services and data operations enhances the implementation and management of data systems across industries

SECTIONS:

• (0:00) - Episode Overview

PART 1: KYG - KNOW YOUR GUEST (1:25)

• (1:25) - Kushagra's Introduction
• (2:50) - Entry In Data Engineering
• (5;40) - Decision & Reason For Entering Data Engineering
• (7:09).- What Is Data Engineering All About
• (12:21) - Lifecycle Of A Data Engineering Project

PART 2: SKILLS TO PRIORITIZE (14:22)

• (14:22) - Skills Required As A Data Engineer
• (21:09) - ETL (Extract Transform & Load)
• (25:08) - Use Of Hadoop Fo Big Data Processing
• (26:48) - Gaining Competitive Edge
• (29:36) - Importance Of Cloud Platforms / Computing
• (32:11) - Project Ideas

PART 3: JOB MARKET (34:31)

• (34:31) - Advice For New Learners
• (38:14) - Key Strategies For Learning
• (42:17) - Using Data Analysis At Work
• (43:22) - Who Should Consider Picking Data Engineering ?
• (46:52) - Do Organizations Consider Freshers For Data Engineering Roles ?
• (48:49) - Learning Platforms and Certifications That Provide Value
• (51:38) - Roadmap Into Data Engineering.

PART 4: FINAL WORDS (53:37)