CV
General information
| Name | Salih Abdullah Kilic |
| Label | Data Management Specialist |
| salihabdullahkilic@gmail.com | |
| Phone | +90 500 000 00 00 |
| Url | salihkilic.net |
| Summary | I am passionate about leveraging data for impactful decision-making. I specialize in data analytics and ETL processes, with hands-on experience in data management, data engineering and analytics. I am actively building my career in data-driven problem solving and have a strong foundation in software development lifecycle methodologies. |
Work
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2024.04 - Present İstanbul/Maltepe
Data Management Assistant Specialist
Sade Yazılım ve Danışmanlık
I provided consultancy, technical support, and project execution for energy, finance, e-commerce, and public sectors, specializing in SAS, SQL, Python, Qlik Talend and JavaScript. My focus included Data Quality & Analytics, ETL processes, and data migration, delivering tailored solutions, optimizing systems, and ensuring seamless data transitions.
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2024.02 - 2024.04 İstanbul/Maltepe
Data Analyst Intern
Sade Yazılım ve Danışmanlık
I began my internship as part of Vocational Training in Business and received a full-time job offer by the second month, transitioning to a permanent role.
Education
-
2019.08 - 2024.06 Bachelor of Business Administration
İzmir Bakırçay Üniversitesi
Management Information Systems
- GPA: 3.0/4.0
Certificates
Skills
| Data Management | |
| Data Quality | |
| Data Analysis | |
| FastAPI | |
| Agile Methodologies | |
| Hadoop | |
| Extract, Transform, Load (ETL) | |
| Data Visualization | |
| Git | |
| Apache Airflow | |
| Microsoft Office | |
| SQL | |
| Project Management | |
| Object-Oriented Programming | |
| Qlik Talend | |
| SAS | |
| Python | |
| Digital Transformation | |
| Single Store |
Languages
| Turkish | |
| Native/Bilingual |
| English | |
| Professional Proficiency (C1) |
| German | |
| Elementary (A2) |
Projects
- 2026.02 - 2026.04
Yves Rocher France
Contributed to the SAS Viya 4 migration project for Yves Rocher, a large cosmetic retailer, transitioning legacy analytical assets to a modernized architecture. Was involved in converting 5 Enterprise Guide projects and SAS codes into SAS Studio formats while migrating specific Enterprise Miner models to Viya Model Studio, with a technical focus on optimizing data pipelines feeding Machine Learning and AI models. Also supported the transformation of 72 Visual Data Builder flows into SAS Studio Flows and the migration of 116 Visual Analytics reports to the Viya 4 platform, and contributed to part of the 10 days of on-the-job training sessions.
- SAS Viya 4
- SAS Studio
- Visual Analytics
- Enterprise Guide
- Enterprise Miner
- 2024.12 - 2025.12
Türk Telekom Group Technology Department
Supported the SAS Viya 3.5 to Viya 4 transformation project for Türk Telekom, one of the largest telecommunications providers in Türkiye. Working within the Data Management team, I adapted analytical workflows to a modern Kubernetes-based microservices architecture, personally managing the end-to-end migration of analytical models and reports for the Corporate and Fixed business units while contributing significantly to the Mobile and Digital units. I developed a custom Python program utilizing Regex-based scripts to analyze over 70,000 tables on Oracle and Hadoop to identify activity and cross-model dependencies, and designed advanced partitioning strategies for Hadoop and Oracle tables to ensure high-performance data processing.
- SAS Viya 4
- Python
- SQL
- Hadoop
- Oracle
- Regex
- 2024.11 - 2024.12
HepsiPay Vertica Upgrade
Involved in the migration of database connections for open-source managed analytics processes to Vertica and the upgrade of the existing open-source Apache Spark Jupyter Notebook and Airflow environments to a more stable and up-to-date version. Contributed to the revision, development, and testing of DAGs and their Python codes to help ensure compatibility with the upgraded environment.
- Python
- SQL
- Apache Airflow
- Spark
- 2024.10 - Present
salihkilic.net — Personal Portfolio Website
Developed a personal portfolio and successfully transitioned the site from React.js to a Ruby and Jekyll based architecture to improve SEO and performance. The platform is now fully operational and ready for content delivery, showcasing my data engineering projects.
- Ruby
- Jekyll
- React.js
- SEO
- 2024.09 - 2024.11
AYDEM Enerji, Sales Pricing Project
Actively contributed to coding the manual process used by sales consultants for proposal generation into automated workflows using SAS Data Step and SQL, ensuring compliance with business rules and formula calculations. Designed and deployed interactive, mobile-compatible input screens for consultants to enter data, integrated into SAS using JavaScript, HTML, and CSS for the frontend — actively used by over 50+ Business Units and Sales Consultants on the field.
- SAS
- SQL
- JavaScript
- HTML
- CSS
- Postman
- 2024.05 - 2024.09
Enerjisa Modernization
Modernization and migration from SAS 9.4 to SAS Viya for Enerjisa, a large Turkish utilities organization. I actively participated in the processes of ETL, data quality, data governance, and workflow performance optimization for a flow containing more than 100+ analytics, business intelligence rules, and business logic. I facilitated seamless and high-performance data exchange across Oracle Vertica, SAP S/4HANA, and AWS by performing detailed analyses, developing and optimizing solutions, scheduling workflows via Apache Airflow, and conducting comprehensive testing to ensure reliability.
- SAS
- SQL
- Apache Airflow
- Oracle Vertica
- SAP S/4HANA
- AWS
-
Versus Stock: A Decision Support System for Investing in the Stock Market
Graduation Project. Versus Stock allows users to compare financial ratios, return rates, and evaluate stock investments against other securities, with a focus on dividend-paying companies. I used yfinance, a Python library which connects to Yahoo Finance, to fetch real-time stock data and the BeautifulSoup library for web scraping real-time data from another brokerage. For the backend, we used FastAPI to format and serve the data, while the frontend was built with JavaScript, HTML, and CSS to display the information in an intuitive and responsive way.
- Python
- yfinance
- BeautifulSoup
- FastAPI
- JavaScript