Oracle DWH and PL/SQL
Building on my Oracle data warehouse experience while developing my practical PL/SQL skills.
Learning
Training is not the goal in itself.
Usable knowledge is.
Courses provide a foundation, but in a portfolio what matters most is how they become part of practical projects, documentation and real professional experience.
Featured training
IBM Data Engineering Professional Certificate
In progressBuilding on my Oracle DWH and SQL background, this learning path adds modern data engineering fundamentals: data management, SQL, Python, data flows, pipeline-oriented thinking and a broader understanding of related tools.
IBM
Data Engineering
SQL
Python
ETL/ELT
Focus
Current focus
Building on my existing Oracle DWH and SQL experience, I am expanding my skills toward modern data engineering in a targeted way. Networking, system administration and cybersecurity knowledge provide a broader technical foundation for this direction.
Modern Data Engineering
Expanding the classic DWH background with modern data platforms, data flows, and pipeline-oriented thinking.
Python and data processing
Python foundations, data handling, and later the automation of data-processing tasks.
Education
Higher education and vocational training
My formal IT education and current complementary training together provide a broad technical foundation across multiple areas.
BSc in Computer Engineering – Software Development specialization
Higher education degree in IT with a software-development specialization.
Information Security Systems Administrator
A systems administration, network operations and information security training path that refreshes my existing operations background with a modern infrastructure and security-oriented perspective.
Selected training
Selected courses
A deliberately selected set of courses that directly strengthens the Oracle DWH, PL/SQL, ETL/ELT, and analytics profile.
The Complete Oracle SQL Bootcamp
A structured review of Oracle SQL fundamentals: SELECT queries, joins, aggregation, subqueries, DDL/DML, and database developer foundations.
Open training →Oracle Analytic Functions In-Depth & Advanced Oracle SQL
Advanced Oracle SQL and analytic functions for reporting and data-processing tasks.
Open training →The Complete PL/SQL Bootcamp: Beginner to Advanced PL/SQL
PL/SQL programming fundamentals and more advanced topics: blocks, variables, control structures, cursors, procedures, functions, packages and exception handling.
Open training →Credentials
Credentials and language skills
Verifiable results and internationally recognizable professional credentials currently in progress.
English language certificate – CEFR B2 (written and oral)
CEFR B2 English language certificate covering written and oral skills, obtained in 2025.
IBM Data Engineering Professional Certificate
Expanding existing Oracle DWH experience with modern data engineering foundations.
Course list
- Introduction to Data Engineering
- Python for Data Science, AI & Development
- Python Project for Data Engineering
- Introduction to Relational Databases (RDBMS)
- Databases and SQL for Data Science with Python
- Hands-on Introduction to Linux Commands and Shell Scripting
- Relational Database Administration (DBA)
- ETL and Data Pipelines with Shell, Airflow and Kafka
- Data Warehouse Fundamentals
- BI Dashboards with IBM Cognos Analytics and Google Looker
- Introduction to NoSQL Databases
- Introduction to Big Data with Spark and Hadoop
- Machine Learning with Apache Spark
- Data Engineering Capstone Project
- Generative AI: Elevate your Data Engineering Career
- Data Engineering Career Guide and Interview Preparation
Method
From learning to projects
The goal is not just to complete courses, but to turn what I learn into tangible, reviewable outcomes.
Learn
Structured courses, books, and official materials.
Practice
Labs, smaller exercises, and hands-on experiments.
Build
Prototypes and personal portfolio projects.
Share
Writing notes, guides, and lessons learned.
Impact
Solving real problems and creating usable value.
Course packages
Course packages supporting Data Engineering
Training360 course packages selected around modern Data Engineer skills and aligned with Oracle DWH, SQL, ETL/ELT and systems operations experience. The six areas cover programming, cloud, DevOps, data platforms and infrastructure.
Microsoft SQL Server – Database and Data Warehousing
Extends an Oracle DWH and SQL background with SQL Server development, data warehousing and administration, supporting a broader perspective across RDBMS environments.
Course list
- SQL Server Data Warehouse
- SQL Server Programming Fundamentals
- Introduction to SQL Server
- Microsoft SQL Server 2017
Python Programming
Adds Python programming, data processing and automation to an SQL and ETL/ELT foundation for modern data engineering tasks.
Course list
- Advanced Python
- Python Fundamentals
Microsoft Azure – Cloud, Data, AI and Security
Covers cloud storage, AI and security in the Azure ecosystem, strengthening understanding of modern cloud-based data platforms.
Course list
- Azure Storage Account
- Azure AI
- Microsoft Azure Security Technologies and Solutions
- Microsoft Azure General Fundamentals
- Microsoft Azure Fundamentals
DevOps, Git and Automated Testing
Git, Azure DevOps, CI/CD and automated testing for more reproducible, reliable and maintainable data-processing and engineering workflows.
Course list
- Azure DevOps
- Version Control and Collaboration with Git
- Automated Testing – Theory and Infrastructure
- Implementing CI/CD on a Java Project with Tools of Choice
Linux, Docker and Kubernetes Platform Fundamentals
Linux, Docker and Kubernetes for understanding the runtime, containerization and operations of modern data platforms.
Course list
- Introduction to Docker
- Kubernetes Introduction
- Kubernetes for Developers
- Kubernetes for Operators
- Advanced Bash
- Enterprise Linux Network Management and Advanced Features
- Enterprise Linux Administration Fundamentals
- Linux Administration Fundamentals
Enterprise Infrastructure and Automation
Windows Server, Active Directory, networking, virtualization and PowerShell automation for a broader understanding of enterprise infrastructure supporting data platforms.
Course list
- PowerShell Fundamentals for Administrators
- Advanced PowerShell
- Windows Server 2019
- Active Directory 2019
- Active Directory Trust Relationships
- DNS
- DHCP
- Vendor-Neutral Networking Fundamentals
Supporting areas
Supporting learning areas
Supporting training in data visualization, cybersecurity and artificial intelligence broadens the technical perspective around the main data engineering direction.
IBM Cybersecurity Analyst – selected courses
Cybersecurity fundamentals, network and operating system security, vulnerabilities, incident response, digital forensics, database security and security architecture. The courses strengthened a systems-oriented, security-aware technical perspective.
Course list
- Introduction to Cybersecurity Careers
- Introduction to Cybersecurity Essentials
- Introduction to Cybersecurity Tools & Cyberattacks
- Operating Systems: Overview, Administration, and Security
- Computer Networks and Network Security
- Database Essentials and Vulnerabilities
- Cybersecurity Architecture
Cisco Networking Academy – CCNA v7
A three-course, hands-on networking program covering switching, routing, wireless networks, enterprise networking, security and automation. The training strengthens my systems-oriented networking and technical background.
Course list
- CCNA: Introduction to Networks
- CCNA: Switching, Routing, and Wireless Essentials
- CCNA: Enterprise Networking, Security, and Automation