About me
In 2021, I graduated from OSTİM Technical University Computer Programming Department with a GPA of 3.25. During my education, I took part in mobile application processes with Java and Kotlin, Image Processing and API projects with Java, Data Analysis and System Applications development processes with Python.
My introduction to Data Engineering took place with my 1-year internship experience at DATAMIND. I am developing myself in the fields of Data Engineering, Machine Learning and Big Data and producing related projects. For a while, I have been developing myself in Miuul/Data Engineering, Miuul/Machine Learning, Codecademy/Build Chatbots with Python, Coursera/IBM Data Engineering Professional Certificate courses.
What i'm doing
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Linux & Bash Scripts
I am proficient in Linux commands at the level of data engineering. Outside of work, I regularly use Linux distributions in my personal life.
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Web Scraping
Apart from the data scrapings I do for my projects, I also scrape data frequently in my spare time and store it.
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Backend & API
I have been involved in the backend of some mobile app developments and websites. Flask is the library I use most frequently for this purpose.
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Extract Transform Load (ETL)
I am experienced in ETL processes, handling tasks such as data extraction, transformation, and loading.
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Databases & Data Modeling
My experience primarily revolves around Postgresql and Oracle. I frequently resort to these technologies in my projects. I also use MongoDB as a NoSQL solution.
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Data & Sentiment Analysis
I possess junior-level skills in data analysis and sentiment analysis. I often incorporate automation for visualizing these in my projects.
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Chatbots & NLP
I have developed chatbots for Telegram (using its official library) and Whatsapp (using Selenium etc.). Additionally, I am involved in developing Ankara Bilim University's NLP chatbot.
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Big Data & Data Engineering
I have a junior-level understanding and experience in the Hadoop ecosystem (Hive, Sqoop, HDFS). Recently, I have been focusing on Kafka and Apache Spark. Other tools and technologies I plan to learn and improve upon include Apache Airflow, Apache Flink, Delta Lake, Spark ML, Apache Cassandra, Elasticsearch, Apache NiFi, MLflow, and Jenkins.
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Cloud Services & Deployment
I primarily use Google Cloud for my projects. App Functions, VM Instances, and Big Query are the tools I use most frequently.