My AWS Data Engineering Roadmap
Personal Guide to AWS Database, Pipeline, Analytics, Business Intelligence
I have been building various medium to large scale solutions for organizations in the educational, logistics, transport and ecommerce sector using AWS Cloud for the past years. I have arrived at a stage where I need to step up, acquire more skills, empower my team and take advantage of many of the recent AWS solutions and build Data Analytics and Machine Learning products.
In one year, I expect to have developed and documented about 50 mini data analytics and machine learning projects, published over 50 technical articles and blog posts, and passed all the AWS Certifications exams related to Data Analytics and Artificial Intelligence.
- Join AWS Community Builders
The AWS Machine Learning (ML) community is a vibrant group of developer advocates with a passion for databases, analytics, or business intelligence technologies such as Amazon QuickSight. AWS data Community welcomes you, whether you are a technical content creator, community organizer, or just want to get more involved. Joining this amazing community is a very instrumental step in achieving my passion.
2. Develop Amazing Data Products and Document the Process
3. Share my experience via Blogs, Online Events, and Meetups
4. Mentor Beginners in machine Learning
5. Pickup a Huge Data Engineering and Data Analytics Challenge
TOP SKILLS RECRUITERS LOOK FOR in an Entry-level Data Scientist Job
Must-have skills
1- Machine Learning
2- Data Mining and Data Analysis
3- Statistical Modeling
4- Deep Learning to solve problems in
5- NLP and Computer Vision
6- Big Data
Programming Languages
1. Python due to its rich libraries
2. R
3. SQL
Deep Learning Frameworks
- TensorFlow
- Keras
- PyTorch
BigData Technologies
1- Spark (or Pyspark)
2- Hadoop
3- Hive
Cloud Provider
1- AWS
2- Azure
3- Google Cloud Platform
4- IBM
Data Visualization Tool
1- Tableau
2- Power BI
Nice to Have Skills
1- Communication and Collaboration
2- Willingness to Learn from Experience
3- Structured Thinking Approach
4- Passion for Solving Problems
5- Self-direction
6- Accountability
Q. Do you really have to match all these skills to get a job?
A. Well not really, there are few tools in the list which is easy to pick up on the job if you are strong with your fundamentals
If you are good with all the mentioned must-have skills for a data scientist then the best approach should be to start attending the interviews and meanwhile try to fill the gaps.
