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Ask me anything about Data Engineering!
Video meeting . 30 mins
Video meeting . 30 mins
Priority DM . a day reply
Video meeting . 30 mins
Video meeting . 45 mins
Mock Interview
Accelerate your Data Engineering career together!
About me
Hi, I’m Rushikesh, a Lead Consultant Senior Data Engineer over 4+ years of hands-on experience in Azure Databricks, PySpark, Spark SQL, Delta Lake, ADF, and CI/CD DevOps. I specialize in building scalable ETL pipelines, optimizing data workflows, and implementing data governance with Unity Catalog.
I work at Genpact, previously working with AXA GBS, designing and developing data solutions for the Commercial Insurance domain. I have extensive experience in Azure Data Engineering, Data Modeling, Migration, Performance Optimization, and Streaming Data Processing.
I am Databricks Certified (Data Engineer Professional, Data Engineer Associate, Lakehouse Fundamentals) and Microsoft Certified (Azure Data Fundamentals), actively working toward advanced certifications.
How I Can Help You
🚀 Career Guidance & Roadmap – Understand the Data Engineering landscape and how to build your skills effectively.
📚 Technical Concept Clarity – Master PySpark, Databricks, SQL, Data Modeling, and Azure Cloud Technologies.
🔍 Resume & LinkedIn Review – Craft a compelling resume and optimize your LinkedIn profile for recruiters.
💼 Mock Interviews & Real Interview Insights – Experience real-world interview scenarios for 0-5 years of experience, including coding, system design, and project discussion rounds.
🛠 Project Guidance & Hands-on Learning – Work on real-world case studies and projects to strengthen your portfolio.
Having conducted multiple mock and real interviews, I know exactly what recruiters look for in Data Engineers. My sessions are tailored to help you crack interviews with practical tips, coding exercises, and industry insights.
Who Should Join?
✅ Freshers looking to break into Data Engineering
✅ Experienced professionals (0-5 years) transitioning into the Data Engineering domain
✅ Candidates preparing for Azure, Databricks, or Data Engineering roles.
Let’s accelerate your Data Engineering career together! 🚀 Book a session now!