$100 / month
Start free, decide later
I'm an experienced Data Engineer with over 7 years in the field, passionate about turning complex data into meaningful solutions. I've built scalable data pipelines, optimized cloud-based workflows, and led projects that significantly improved system performance and business decision-making—like cutting ETL job runtimes in half and enabling real-time analytics on streaming data.
I enjoy mentoring aspiring and early-career data engineers who are curious, driven, and eager to grow. Whether you're learning the fundamentals of SQL and Python, tackling big data tools like Spark and Airflow, or preparing for technical interviews, I tailor each session to your goals. My mentoring style is hands-on, structured, and focused on building both confidence and technical depth.
If you're ready to take the next step in your data engineering journey, let’s connect! I’m here to support your growth with practical advice, honest feedback, and real-world insights.
An end-to-end ETL (Extract, Transform, Load) pipeline is essential for converting raw data from various sources into clean, structured information …
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ayushupadhyay22 has 2 repositories available. Follow their code on GitHub.
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You tell Ayush your goals. They see exactly what you want to work on before session one.
You meet within days. Ayush reviews your application and books your first session, usually within a day or two.
You leave with a plan. Concrete next steps and a weekly rhythm from your very first week.
Ayush Upadhyay
Data Engineer at None
Enter your email and we'll let you know when Ayush has open spots. You'll also get a link to manage your wishlist – no account needed.
Book a free intro call with Ayush
Connect with Ayush in a quick call (usually 15-20 minutes)
What's included in the trial?
Every trial is a little different–here's what Ayush says about their trial:
We'll meet for a quick call (usually under 30 minutes) where we:
- Break the ice and introduce ourselves
- Discuss your goals and how I can support you
- Coordinate logistics like time zones, meeting frequency, and communication methods