
Fatma Berrak Güngör
Level 2 Operation Specialist

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About me
Data Engineer
Education

Dokuz Eylül Üniversitesi
-Electrical and Electronics Engineering
Experience

Türk Telekom
May 2014 - Nov 2017Level 2 Operation SpecialistEnvironment: LinuxTools: Python, Shell Script, GitHub, Jenkins, Oracle DBo Investigation of fraud cases and taking actionso Proactive monitoring of Unix based systems to ensure 22 million subscribers are rated and charged with zero down timeo Test, optimize, debug and maintain server-side Linux shell scripts and Oracle SQL jobs employing various scripting languages to create job-control, job flow automation tasks and subscriber impact managemento Work with Revenue Assurance teams for root cause analysiso Work with Fraud team to analyze and take action for blacklisted subscribers and supporting the development and maintenance of models and methodologies for FCR Analytics risk measuremento Data analysis on subscriber usage/procurement history Show less

Select Fashion
Nov 2018 - Dec 2019Data EngineerEnvironment: Azure, Spark, DockerTools: Python, Power Shell, Databricks, Azure Data Factory, GitHub, Jenkins, PostgreSQL, Microsoft Azure SQL Database• Served as a full stack developer, designing, developing and maintaining end-to-end data pipelines across multiple data sources (Azure MS DB, Google Analytics, Applications, User adjustments) , systems of record and feed to data warehouse (Azure Data Lake)• Responsible for all company reports from Azure Data Lake• Served as a full stack developer, designing, developing and maintaining end-to-end data pipelines across multiple data sources and systems of record• Migrating the existing ETL workflows to Azure Data Factory and Databricks• Performance Optimization on Microsoft SQL database• Managing projects from business requirements to delivery and functional reports• Creating customer profiles by making individual analysis of customers and developing marketing machine learning according to these profiles Show less

Smart Grep
Dec 2019 - nowData Engineer• Architected, developed, and fine-tuned data pipelines leveraging Azure services like Databricks, Azure Data Lake, and Azure Data Factory, driving substantial improvements in operational performance.• Hands-on expertise with Azure Compute resources, including Virtual Machines, VM Scale Sets, Azure Functions, App Services, and Batch Services.• Managed and optimized relational and NoSQL databases, including Oracle SQL, MS SQL Server, PostgreSQL, and MongoDB.• Designed and orchestrated data workflows using Apache Airflow, enabling efficient automation and monitoring of ETL/ELT processes.• Developed scalable data processing pipelines with Apache Spark to handle large-scale distributed data and optimize performance for both batch and real-time workloads.• Partnered with Data Architects to execute design specifications for a seamless Identity Server migration.• Engineered and deployed an ETL data migration pipeline using tools such as Docker, BigQuery, and Concourse.• Designed and showcased a proof-of-concept for transitioning on-premises databases from MSSQL to GCP.• Automated repository code standardization workflows through Git-based solutions.• Developed a database versioning framework using Liquibase to efficiently track and manage data source changes.• Authored comprehensive documentation detailing ETL workflows, deployment strategies, and pipeline execution processes. Show less

ING
Dec 2019 - nowDevOps Engineer• Designed, implemented, and maintained CI/CD pipelines using Azure DevOps and Ansible to automate builds, testing, deployments, and recurring tasks.• Developed and improved Ansible playbooks and Azure DevOps pipelines to streamline deployments and automated testing processes.• Created automation pipelines and custom scripts using Python and Bash to support application functionality, generate reports, monitor systems, and provide backup solutions.• Handled OS operations and utilized Bash scripting to manage and automate tasks on Linux servers.• Ensured consistent operation, performance, and availability of Linux platforms, Java applications, and other third-party tools, using monitoring tools like ELK Stack, Prometheus, and Grafana.• Managed incidents and user requests, providing technical solutions for Linux platforms and third-party applications while maintaining security and performance.• Documented and maintained IT Risk Controls (Change Management, Problem Management, Identity Access Management, Security Monitoring, and Operational Resilience).• Facilitated Git operations, including branching, merging, and rebasing, while reviewing and managing pull requests to ensure code quality.• Collaborated closely with cross-functional teams to translate diverse requirements into actionable solutions. Show less
Licenses & Certifications

Fundamentals of Scalable Data Science by IBM
IBMMay 2019
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