Start with strong fundamentals in SQL, Python, data engineering, cloud, and AI. Build real-world projects, understand system design, and prepare strategically for interviews. I can help you create a personalized roadmap.

Learn SQL, Python, data modeling, ETL, Spark, cloud, and orchestration. Build production-style projects to turn theory into practical skills.

Start with ML fundamentals, LLMs, embeddings, RAG, AI agents, and AI system design while leveraging your existing data engineering skills.

Yes. Focus on practical AI engineering, LLM applications, RAG, agents, evaluation, data pipelines, and AI-ready architectures.

Highlight measurable impact, technical ownership, architecture decisions, and business outcomes instead of simply listing technologies.

Identify the gap between your current profile and target roles, strengthen the highest-impact skills, improve your resume, and prepare specifically for the interview process.