Data Engineer
Customized mentorship programs to help you identify gaps, follow a structured roadmap, and prepare for your next career step — with live calls, assignments, and expert feedback.
Experience
3+ yrs
Rating
No Rating Yet
Field
Data Science and Engineering
Spots left
3
Engineer from a multidisciplinary background. With experience spanning the entire data lifecycle, I've taken a deep dive in a diverse set of data roles. Being ahead of trends meant that I had to filter out buzz to learn what actually mattered. I started in AI engineering, then pivoted to data infrastructure when I realized I was more interested in the systems that make AI work than the models themselves. Being the solo data engineering department for so long, I learned to juggle priorities between business communication, technical implementation, research and decision making, and upskilling at the same time. Part of my day to day operation is designing and implementing enterprise data infrastructure. I research best practices and different options given constraints. I map business requirements to architecture decisions, then implement them. I enable intelligent systems development through automated data access and delivery. **This program is designed for:** - **University students:** - Just starting out and figuring out which field fits you - Scoping your graduation project and deciding what to specialize in - Committed to a path and ready to go deeper - **Industry professionals** looking to transition into data-oriented roles and need a realistic starting point **This program is:** - Helping you figure out your most suitable data role - Building the necessary skill set for it - Collaborating on planning your next professional step **This program is not:** - Job placement or recruitment assistance - A generic bootcamp curriculum - Deep specialization guidance in analytics or BI
Data Engineer at KayanHR
Jul 2025 – Present
AI Prompt Engineer at Menadevs
Oct 2024 – Jul 2025
Python Developer at Qistas
Jun 2024 – Oct 2024
Meta Backend Developer
Meta
IBM DevOps & Software Engineering
IBM
Airflow 3 DAG Authoring
Astronomer
One-time expert services you can purchase after signing in to Qualify You, including personalized roadmaps, interview practice, and more.
Structured programs with recurring calls and interview practice. Request a package in the Qualify You learner app.
A comprehensive mentorship program covering the full breadth of modern data engineering. Over six months, we tackle the advanced systems and concepts that separate practitioners from engineers who can reason about the entire stack: from cloud infrastructure to distributed processing to real-time data. The pace, focus, and depth adapt to your progress throughout.
What's included
Best for
1 calls / week · 60 min
Live mentorship cadence
2 interviews / month
Mock interview sessions
Live calls
6 Months program
Installments option is available
$800
Total for 6 months
Three months of structured, hands-on mentorship going beyond the basics. We work through the core building blocks of real data infrastructure: pipelines, orchestration, containerization, and more, with sessions tailored to where you are and where you're going. You leave with practical experience and a clearer picture of what it means to work in data engineering.
What's included
Best for
1 calls / week · 60 min
Live mentorship cadence
1 interview / month
Mock interview sessions
Live calls
3 Months program
Installments option is available
$400
Total for 3 months
A focused month to get you oriented in the data engineering field. We'll cover the fundamentals at a pace that builds real understanding, not just exposure. By the end, you'll know what the field actually demands and have your first hands-on experience with the tools that matter most.
What's included
Best for
1 calls / week · 60 min
Live mentorship cadence
1 interview / month
Mock interview sessions
Live calls
1 Month program
$140
Total for 1 month
Engineer from a multidisciplinary background. With experience spanning the entire data lifecycle, I've taken a deep dive in a diverse set of data roles. Being ahead of trends meant that I had to filter out buzz to learn what actually mattered. I started in AI engineering, then pivoted to data infrastructure when I realized I was more interested in the systems that make AI work than the models themselves. Being the solo data engineering department for so long, I learned to juggle priorities between business communication, technical implementation, research and decision making, and upskilling at the same time. Part of my day to day operation is designing and implementing enterprise data infrastructure. I research best practices and different options given constraints. I map business requirements to architecture decisions, then implement them. I enable intelligent systems development through automated data access and delivery. **This program is designed for:** - **University students:** - Just starting out and figuring out which field fits you - Scoping your graduation project and deciding what to specialize in - Committed to a path and ready to go deeper - **Industry professionals** looking to transition into data-oriented roles and need a realistic starting point **This program is:** - Helping you figure out your most suitable data role - Building the necessary skill set for it - Collaborating on planning your next professional step **This program is not:** - Job placement or recruitment assistance - A generic bootcamp curriculum - Deep specialization guidance in analytics or BI
