Jitesh Soni

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Expertise and Practical InsightsCanadian Data Guy specializes in data engineering and provides in-depth technical content. My blogs focus on democratizing and breaking down complex data engineering concepts, making them accessible to data enthusiasts and businesses alike<a href="https://medium.canadiandataguy.com/how-much-did-i-make-in-my-first-month-of-monetization-on-medium-b60d2406ba9a?gi=e2d649c137d2" rel="noopener noreferrer" target="_blank">4</a>.&nbsp;This expertise is particularly valuable for those looking to enhance their understanding of data-related topics.Production-Ready CodeOne of the key advantages of Canadian Data Guy's blogs is the inclusion of production-ready code. I strives to provide solutions that can be directly

Unlock data engineering mastery with production-ready code and simplified complex concepts.

An in-depth exploration of checkpoints, offering unique insights you won't encounter in any other YouTube video

Mastering Checkpoints in Spark Streaming: Everything You Need to Know

Join Jitesh for an in-depth masterclass on Spark Streaming! This session covers an introduction to Spark Streaming, followed by a live demo designed for both beginners and advanced users. Learn how to read and write data, manage offsets, and understand the complexities of streaming architectures like Kafka. Jitesh, with his extensive experience at Amazon, AWS, and Databricks, also shares best practices, use cases, and performance tips. Whether you're new to Spark or looking to deepen your knowledge, this session has something for everyone!

Spark Streaming Master Class: Ingest data from Kafka to Delta with Spark Streaming

Engineers and engineering leaders who build, deploy, and scale software systems.

Data scientists who apply statistical and ML techniques to extract insights from data.

Master Spark internals, optimizations & real-world scaling to crack FAANGM interviews & boost your salary by $100K+—with expert-led insights

Spark & Distributed Systems Mastery: Scale Data, Optimize Jobs, Crack Interviews

Specialist Solutions Architect

Data Engineer

Solutions Engineer

Senior Data Engineer

Analytics Engineer

🔧 Hands-on Benchmarking &amp; Real-World Problem SolvingEngage 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. 🔧 Learn how to decipher the Spark UISpark 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. 🎯 Crack FAANGM Interviews with a Proven ApproachDevelop 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 RetentionBenefit 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 &amp; Performance OptimizationGo 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 &amp; Community SupportReceive 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.

Stand Out in Data Engineering: Master Distributed Systems 

Course syllabus

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Wednesdays

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May 7, 2022

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Weekly projects

Course schedule

Data Engineers proficient in SQL and Python but new to distributed systems.

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

If you're struggling with technical interviews, especially system design or Spark-related questions. Or Planning to get into FAANGM

Who is this course for

What you’ll get out of this course

<ul><li>Go beyond API calls—learn how Spark actually works under the hood.</li><li>Master shuffling, partitioning, and query execution to handle petabyte-scale data efficiently.</li></ul>

Deep Understanding of Spark Internals & Performance Optimization

<ul><li>Optimize real Spark jobs by tuning shuffle partitions, hardware configurations, and join hints.</li><li>Benchmark write speed and query performance across different table formats, including Liquid Clustering and Z-Ordering.</li></ul>

Hands-on Projects & Real-World Benchmarking

<ul><li>Learn how to explain complex Spark concepts simply, a key skill for FAANGM interviews.</li><li>Tackle real Spark interview questions and data modeling scenarios to stand out in technical rounds.</li></ul>

Interview Prep for FAANGM & System Design Rounds

<ul><li>Gain insights from someone who has built and optimized Spark at Amazon, AWS, and Databricks.</li><li>Learn how to create job opportunities, crack interviews, and position yourself for high-paying roles.</li></ul>

Learn directly from Jitesh Soni

Jitesh Soni

Courses

Spark & Distributed Systems Mastery: Scale Data, Optimize Jobs, Crack Interviews

Resources

Unlock data engineering mastery with production-ready code and simplified complex concepts.

Spark Streaming Master Class: Ingest data from Kafka to Delta with Spark Streaming

Mastering Checkpoints in Spark Streaming: Everything You Need to Know