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Firstly, I’ve distilled my 14 years of experience, transitioning from an bi analyst to a staff data engineer, into a comprehensive course. This will be divided into 12 modules:
The initial three modules are tailored for the roles of analysts and BI engineers.
Modules 4 through 6 transition from the traditional ETL/ELT developer role, guiding learners toward becoming adept data engineers familiar with the modern data stack.
Modules 7 to 10 delve deeper into the intricacies of being a seasoned data engineer.
Module 11 sheds light on Machine Learning.
Module 12 rounds off the course by discussing best practices in Data Engineering.
I will slowly build the content and write different career insights and observations that will help you be on track and avoid burnout from false career expectations. Believe me, it hearts!
Secondly, Surfalytics is committed to cultivating a global community centered on knowledge exchange and support. We are hosting dedicated Discord Server where discuss the job market, interview process, weekly progress and many more. Every week we defined 1-2 projects and work till completion, examples are:
Databricks Delta Lake
Snowflake, dbt hosted in Docker and GitHub Actions project
Meltano, dbt, DuckDb project
Microsoft Fabric and Lakerhouse
Snowflake and Looker
and many more
Thirdly, it’s not just about technical know-how; it’s also about the lifestyle and mindset. We’re geared towards optimizing total compensation, with the aspirational goal to join Club500.
Fourthly, I am in the process of designing bootcamps for specific roles: BI engineer, Data Analyst, and Data Engineer, all rooted in the core program I’ve developed.
Lastly, one of my personal dreams is to host Surfing + Data Bootcamps. Imagine starting the day catching waves and then transitioning into a data-driven afternoon. The journey of learning and earning should be enjoyable in every sense.
About Author
I have been lucky enough to work for over 14 years in analytics. I started my data career in Moscow as a BI engineer working with traditional Oracle Data Warehouse, Informatica, and SAP Business Objects. Later I joined Teradata. It was a very rewarding experience. I instantly got access to a worldwide knowledge base of leaders in the data warehousing space.
Later, I realized that it would be boring to spend all my life in Moscow so moved to Montenegro and then immigrated to Canada where I joined Amazon where I spent 5 years. I’ve worked in several teams, including Alexa AI (in Boston) and Customer Behaviour Analytics (in Seattle). I participated in genuinely innovative projects where data is the driving force. I’ve witnessed Big Data and Machine Learning in action at the scale of the world’s largest company.
After Amazon, I worked for 3 years at Microsoft Xbox and Microsoft Azure Data&AI. I actively participated in the development and implementation of Microsoft products for analytics - Synapse, Fabric, and Azure Databricks. Now, I help create innovative analytical solutions, build data teams, and modernize outdated solutions. And of course, I teach those interested all over the world. I recently launched a service in English, surfalytics.com (Surf + Analytics), a global counterpart to datalearn (more about it below).
I have written several books on analytics:
Jumpstart Snowflake: A Step-by-Step Guide to Modern Cloud Analytics
Tableau 2019.x Cookbook: Over 115 recipes to build end-to-end analytical solutions using Tableau
Since 2021 I have been teaching a Cloud Computing Fundamentals course at the University of Victoria.
I have extensive experience in developing data communities and speaking at conferences, meetups, and user groups. I was leading Snowflake, and Tableau user groups in Vancouver and presented myself across North America at local meetups or biggest data conferences. In 2017 I started a Canadian consulting company Rock Your Data with the goal to help companies adopt cloud analytics and migrate to the cloud. However, I realized that my primary passion is building and teaching.
In 2019 I started a free project datalearn.ru where I was teaching Data Engineering and Analytics professions based in my home country. Around 20 000 people signed up over 3 years and many people landed their 1st job worldwide. I am thankful for the opportunity to share the knowledge that helped to transform other people’s lives.
All of this helps me stay at the forefront of technology and monitor where the analytics industry is heading.