Data Engineer
Summary
As a data engineer, my focus is on developing sustainable and efficient long-term solutions that meet business needs. With experience working in uncertain and ambiguous environments, I have successfully created robust data solutions for both on-premises and cloud environments. I possess strong computing fundamentals, along with experience in programming and quality assurance, enabling me to build high-quality and reliable solutions.
Expectations
I'm looking for a stable company where I can continue to develop myself professionally, having opportunities to apply the skills I've acquired over years of experience and studies. I like complex challenges that take me out of my comfort zone.
Employment Preferences
Expected Base Salary
**,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Computer Science
- Databases
- Calculus
- Theoretical Computer Science
- Graphs
- Object-Oriented Programming
- OOP
- Low Level Programming
- Network Security
- Network Engineering
- Data Management
- Distributed Systems
- Data Security
- Data Lakes
- Data Warehouse Architecture
- NoSQL
- Visual Studio
- GitHub
- Amazon S3
- Amazon Athena
- Amazon EC2
- Salesforce API
- DBeaver
- SnapLogic IPaaS
- Data Modeling
- Extract
- Transform
- Load
- ETL
- Microsoft Power BI
- Python
- Programming Language
- Amazon Web Services
- AWS
- Cloud Computing
- Data Science
- Machine Learning
- Data Analysis
- Scrum
- Kanban
- SQL
- QlikView
- MongoDB
- Microsoft Azure
- Pentaho
- QlikView Development
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