Source system
Reliable ingestion of high-volume data from telecom, healthcare and financial processes.
Software Engineer (MSc) · Solution Architect · Ankara
A software engineer working across high-volume data systems, Oracle PL/SQL, ETL, DWH, reporting and enterprise architecture, with a focus on performance and sustainable delivery in critical systems.
Profile
Mehmet KARACAN combines experience in telecommunications, healthcare IT, financial workflows and public-sector projects with enterprise software development, database performance, ETL/DWH processes and integration architecture.
His career is centered on processing high-volume data reliably, turning complex systems into clear operations and guiding technical teams toward sustainable delivery discipline.
Professional story
In enterprise systems, success is not measured only by code running. Data must be captured correctly, transformed accurately, remain observable, create trust in reporting and scale without slowing operations. Mehmet's expertise appears across this journey: connecting Oracle PL/SQL, ODI, ETL, DWH, Java services, CI/CD and reporting layers into one reliable flow.
Reliable ingestion of high-volume data from telecom, healthcare and financial processes.
Clean, fast and observable data flows with Oracle SQL, PL/SQL, ODI, ETL and data warehouse processes.
Supporting operational decisions through reporting, audit screens and executive dashboards.
Experience
A career path focused on scalable systems, data flows, reporting and team coordination across telecommunications and healthcare IT.
November 2022 – Present
Software Development Consultant · Çankaya, Ankara
September 2017 – November 2022
Training and Software Support Team Lead · Çankaya, Ankara
Technical skills
Java, JavaScript, C#, Spring Boot
Oracle SQL, PL/SQL, PostgreSQL, MySQL, Microsoft SQL Server, T-SQL, Oracle Data Integrator
ETL, DWH, high-volume data systems, data modeling, performance optimization
Jenkins, Git, GitHub, Maven, SVN, CI/CD automation, version control
JIRA, Confluence, JasperReports, Power BI, IntelliJ IDEA, Eclipse, Oracle JDeveloper, WebLogic, Tomcat
Agile/Scrum, backlog management, sprint planning, mentoring, technical leadership, telecommunications, healthcare IT, financial processes, public-sector projects
Focus areas
Data systems focus
In high-volume systems, technical value becomes visible when data transfer continuity, PL/SQL query performance, ETL/DWH observability and reporting reliability are handled together.
A focus on continuity, maintainability and data consistency across ODI 11g-12c migration, e-Invoice/e-Archive and enterprise data transfer processes.
Faster and more observable operations in high-volume record flows through Oracle SQL, PL/SQL and query optimization.
Turning operational data into decision-support structures through data warehouse processes, JasperReports, Power BI and executive screens.
Sustainable development of critical systems through Java Spring Boot, CI/CD, release management and team coordination.
Highlighted contributions
Faster and more observable operations in high-volume record flows through query optimization, data modeling and process improvements.
A modernization approach centered on continuity, maintainability and delivery speed during the migration process.
End-to-end contribution across HBYS modules, decision-support screens, audit readiness, user training and field adoption.
Making operational data decision-ready through SQL optimization, JasperReports, Power BI and executive screens.
Anonymous case notes
Context: A high-volume telecommunications data flow.
Approach: ODI version migration, SQL/PLSQL improvement and delivery continuity were handled together.
Outcome: A transition structure was established to simplify maintenance and operational monitoring.
Evidence boundary: Organization, customer, data and topology details are not disclosed.Context: A healthcare information system with audit and decision-support needs.
Approach: Query behavior, reporting flow and user feedback were brought into the same improvement cycle.
Outcome: The clarity of monitoring and reporting processes was strengthened.
Evidence boundary: Organization, customer, data and topology details are not disclosed.Technical writing
A technical review of database indexes through access patterns and query behavior.
Read on LinkedIn ↗A technical article discussing measurement, data structures and approach changes in performance decisions.
Read on LinkedIn ↗Education and certificates
Digital profile