8 Weeks
·Cohort-based Course
Master Spark internals, optimizations & real-world scaling to crack FAANGM interviews & boost your salary by $100K+—with expert-led insights
8 Weeks
·Cohort-based Course
Master Spark internals, optimizations & real-world scaling to crack FAANGM interviews & boost your salary by $100K+—with expert-led insights
Previously at
Course overview
🔧 Hands-on Benchmarking & Real-World Problem Solving
Engage in industry-level assignments where you benchmark, optimize, and fine-tune Spark jobs. Tackle real-world data challenges with confidence, applying your skills to practical projects that mirror actual industry scenarios.
🎯 Crack FAANGM Interviews with a Proven Approach
Develop the skills to confidently answer tough Spark interview questions, explain complex concepts in simple terms, and structure responses the way top companies expect. Gain targeted insights and hands-on practice to increase your chances of landing top-tier FAANGM positions.
📚 Structured Learning That Builds Retention
Benefit from a progressive course structure that layers concepts for deep understanding. Unlike scattered free content, this structured approach ensures that Spark’s mechanics are thoroughly grasped and directly applicable to your professional work.
✅ Master Spark Internals & Performance Optimization
Go beyond surface-level knowledge by deeply understanding Spark’s architecture, execution model, and optimization strategies. Learn to efficiently handle and scale petabyte-scale datasets, enhancing your ability to design robust and high-performance data pipelines.
🤝 Exclusive Mentorship & Community Support
Receive direct feedback from expert instructors and engage with a strong cohort of peers. Gain access to an active learning community that fosters collaborative problem-solving and knowledge sharing, accelerating your growth and professional development.
🔧 Learn how to decipher the Spark UI
Spark UI contains extensive information and can be overwhelming for the average user. Based on my 10 years of experience with Spark UI, I will guide you on what to focus on and what truly matters.
01
Data Engineers proficient in SQL and Python but new to distributed systems.
02
Engineers who have used Spark but haven't worked with it on large projects, knowing the basics but not how it works behind the scenes
03
If you're struggling with technical interviews, especially system design or Spark-related questions.
Or
Planning to get into FAANGM
Deep Understanding of Spark Internals & Performance Optimization
Hands-on Projects & Real-World Benchmarking
Interview Prep for FAANGM & System Design Rounds
Career Growth & Industry Best Practices
8 interactive live sessions
Lifetime access to course materials
1 in-depth lesson
Direct access to instructor
6 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Spark Deep Dive: Cost-Effective Strategies to Scale to Petabytes
Mar
19
Master Spark's Core Concepts & Architecture
Mar
26
Explore how to tune Spark Joins using hints and how they work behind the scenes
Apr
2
Apr
9
How to optimize a Spark job with UDF? Vectorize
Apr
16
How to handle Skew in Spark Jobs
Apr
23
Walk Through Commonly Asked Questions in FAANGM interviews
Apr
30
Unpartitioned Tables, Partitioned Tables, Over-Partitioned Tables, Zorder and Liquid Clustering
May
7
Ask Me Anything + Q&A
Jarriett K Robinson
Minu Sarraf
Billy Switzer
Benjamin Tew
Sunny Nian
Jitesh Soni is a highly experienced Data Architect and Engineer with over 13 years in the industry, having worked at AWS, Databricks, and Amazon. He holds a Master’s in Big Data from Simon Fraser University and has a proven track record of solving real-world data challenges. In 2024 alone, he worked on 150 use cases across 110 customers, helping businesses take workloads to production almost every week. As a mentor and educator, he has helped countless professionals upskill and land better-paying roles by breaking down complex concepts with a no-fluff, practical approach. His insights, shared under the pen name Canadian Data Guy, have been viewed over a million times across Substack, Medium, YouTube, and LinkedIn.
Why learn from Jitesh?
✔ Hands-on experience: 13+ years in data engineering, including AWS, Databricks & Amazon
✔ Proven impact: Helped 110+ companies take workloads to production in 2024 alone
✔ Trusted mentor: Professionally mentoring for 3+ years, guiding people to high-paying roles
✔ No fluff, practical learning: Focuses on real-world applications, not just marketing hype
✔ Recognized thought leader: 1M+ views across platforms, sharing deep technical insights
Join an upcoming cohort
Cohort 1
$500
Dates
Payment Deadline
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Sign up to be the first to know about course updates.
Join an upcoming cohort
Cohort 1
$500
Dates
Payment Deadline