24:I[86869,[],"IconMark"] 1e:["$","img",null,{"height":"1","width":"1","style":{"display":"none"},"alt":"","src":"https://www.facebook.com/tr?id=3659591550929113&ev=PageView&noscript=1"}] 20:T496,

Want to become a Data Engineer but unsure where to start or what to learn first?

This session is designed to give you a clear roadmap into Data Engineering with practical guidance based on industry expectations current trends and real-world learning paths.

In this session we’ll discuss:

• What a Data Engineer actually does

• Skills and technologies you should focus on

• Python SQL Cloud Snowflake Databricks and modern data tools

• How to start building projects and gaining practical experience

• Certifications and learning resources worth considering

• Difference between Data Analyst Data Engineer and other data roles

• How to prepare for interviews and job opportunities

• Resume LinkedIn and portfolio guidance

• Common mistakes beginners make and how to avoid them

Whether you’re a student fresher working professional or someone planning a career transition this session will help you build clarity confidence and a proper action plan to enter the Data Engineering field.

Let’s simplify the journey and build your roadmap into Data Engineering together!

21:T452,

Not getting enough interview calls or unsure whether your resume stands out?

This session is designed to help you improve your resume profile positioning and overall presentation for better career opportunities.

During the session I’ll review your resume in detail and provide personalized feedback on:

• Resume structure and formatting

• Project descriptions and impact

• Technical skills presentation

• ATS friendliness and recruiter expectations

• Common mistakes that reduce shortlist chances

• How to make your resume stronger for fresher and entry-level roles

• LinkedIn profile improvements and optimization

• Tips to improve visibility and interview opportunities

You’ll also get guidance on how to better showcase your skills projects and learning journey to stand out in today’s competitive job market.

Whether you’re a student fresher or working professional this session will help you create a stronger and more confident professional profile.

Let’s build a resume that gets noticed!

22:T464,

Preparing for interviews can feel stressful especially when you’re unsure what interviewers actually expect.

This session is designed to simulate a real interview experience followed by detailed personalized feedback to help you improve your confidence communication and technical approach.

During the session we’ll cover:

• Real-time mock interview experience

• Resume-based and role-based questions

• SQL Python and Data Engineering fundamentals

• Project explanation and communication skills

• Interview mindset and confidence building

You’ll receive detailed feedback on:

• What you did well

• Areas that need improvement

• How to structure better answers

• Common mistakes to avoid

• What recruiters and interviewers usually expect

Whether you’re a fresher preparing for placements a professional switching careers or someone targeting Data Engineering roles this session will help you prepare with clarity and confidence.

Let’s practice now so you can perform better in your real interviews!

23:T48d,Hi there! I’m Pavan Kumar. I’m a Data Engineer and Generative AI enthusiast passionate about building scalable data solutions and exploring modern AI technologies. Previously associated with Genpact, I worked on data analytics, cloud technologies and AI-driven learning programs that strengthened my foundation in Data Engineering and Generative AI. My expertise includes Python, SQL, Snowflake, Databricks, AWS, Power BI, Machine Learning, Generative AI, OpenAI API

Data Engineering Launch Pack

Pavan Kumar Puli