Services

Video meeting . 60 mins

Data Engineering Mock Interview

Practise technical reasoning and get actionable feedback.
₹1,000
Video meeting . 30 mins

Data Engineering Career Mentorship

A focused roadmap for your next data engineering role.
₹500
Video meeting . 30 mins

GenAI for Data Engineers

Understand RAG and agents through a data-platform use case.
₹500
Video meeting . 30 mins

Spark / SQL Troubleshooting

Diagnose one bottleneck. Build a practical debugging plan.
₹200
Video meeting . 30 mins

Senior / Lead System Design Mock

Practise architecture trade-offs for senior and lead roles.
₹500
Video meeting . 30 mins

Resume + Interview Strategy Review

Make your projects and engineering impact easier to explain.
₹500
Video meeting . 30 mins

AI Data Platform Architecture

Review the path from a business question to a useful answer.
₹500
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About me

Build stronger foundations. Prepare for your next role. Understand how modern data and AI systems work in practice. I'm Prakhar, a Senior Data Engineer at Airtel Digital with 8+ years of industry experience. I help data engineers with interviews, system design, career decisions and the move into AI-powered data platforms. MY ENGINEERING JOURNEY Data pipelines → distributed systems → cloud data platforms → semantic search & RAG → AI agents & analytics. I started with SQL, Python, Spark and large-scale data processing. Over time, my work evolved into data platform engineering. Today, I work on systems that understand business questions, discover relevant enterprise data, generate and validate SQL, execute queries and return useful answers. That journey connects traditional data engineering with metadata intelligence, semantic retrieval, agent workflows and reliable query execution. My broader experience spans ecosystems involving Airtel Digital, GlobalLogic, Expedia Group / Hotwire, Publicis Sapient and Cognizant. HOW I CAN HELP • Prepare for Data Engineer and Senior / Lead interviews. • Practise system design and explain engineering trade-offs. • Strengthen your resume, project stories and career roadmap. • Learn GenAI, RAG and agents from a data engineer's perspective. • Review an AI data platform design or troubleshoot a focused Spark / SQL problem. My approach is practical: understand why a system exists, how its parts fit together and what happens when it fails. Bring a specific goal or challenge, and we'll work through it together. Explore the sessions below and choose the one that matches your next step. For technical reviews, bring anonymised examples without credentials or confidential employer data.