Oracle DWH and PL/SQL
Targeted deepening of my Oracle data warehouse experience and independent PL/SQL development routine.
Courses provide a foundation, but in a portfolio what matters most is how they become part of practical projects, documentation and real professional experience.
Building 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.
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.
Targeted deepening of my Oracle data warehouse experience and independent PL/SQL development routine.
Expanding the classic DWH background with modern data platforms, data flows, and pipeline-oriented thinking.
Python foundations, data handling, and later the automation of data-processing tasks.
My formal IT education and current complementary training together provide a broad technical foundation across multiple areas.
Higher education degree in IT with a software-development specialization.
A systems administration, network operations and information security training path that refreshes my existing operations background with a modern infrastructure and security-oriented perspective.
A deliberately selected set of courses that directly strengthens the Oracle DWH, PL/SQL, ETL/ELT, and analytics profile.
A structured review of Oracle SQL fundamentals: SELECT queries, joins, aggregation, subqueries, DDL/DML, and database developer foundations.
Open training →Advanced Oracle SQL and analytic functions for reporting and data-processing tasks.
Open training →PL/SQL programming fundamentals and more advanced topics: blocks, variables, control structures, cursors, procedures, functions, packages and exception handling.
Open training →Verifiable results and internationally recognizable professional credentials currently in progress.
Complex intermediate-level English language exam obtained in 2025.
Expanding existing Oracle DWH experience with modern data engineering foundations.
The goal is not just to complete courses, but to turn what I learn into tangible, reviewable outcomes.
Structured courses, books, and official materials.
Labs, smaller exercises, and hands-on experiments.
Prototypes and personal portfolio projects.
Writing notes, guides, and lessons learned.
Solving real problems and creating usable value.
Supporting training in data visualization, cybersecurity and artificial intelligence broadens the technical perspective around the main data engineering direction.
Selected modules from the full learning path.
Cybersecurity fundamentals, network and operating system security, vulnerabilities, incident response, digital forensics and security tools. The goal is to strengthen a systems-oriented, security-aware technical background.