Ela Gul

- Responsible for architectural design, analytical applications, and integrations for Big Data and Streaming Technologies for enterprise clients such as Mercedes-Benz, TOGG auto and banks - Responsible for driving advanced Data Streaming use cases from conception to Go-Live, including end-to-end event-driven systems with Apache Kafka and Apache Flink, and containerizing - Building and deploying customer-specific PoCs in on-premise and containerizing (Kubernetes/OpenShift/Docker) environments

- Building end-to-end PySpark, Flink and Kafka applications that make use of more than 500 Million Rows of source data - Building real-time data processing applications in Airflow with 2 ms latency which are integrated with business systems - Sourcing, ingesting and validating data sets with 100% message delivery, building pipelines to transform data for Machine Learning - Leveraged knowledge in Git, Python, SQL, Spark, Kafka, Docker, Airflow, Flink, Kibana, Elasticsearch, Superset, Nifi

- Implementing scalable Spark, NiFi and Flink data pipelines from various platforms, CSV, JSON, KAFKA or 3rd party services - Developing data collection and analytics systems with various RDBMS, NoSQL and big data platforms and 100% message delivery - Dockerization of all projects and creating compelling data visualizations in Superset and Kibana - Leveraged knowledge in Git, Python, SQL, Spark, Kafka, Docker, Flink, Elasticsearch, Kibana, Logstash, Superset, Nifi, MySQL

- Designing ETL / ELT / data pipelines in Azure Data Factory - Reporting operational data in Power BI dashboards - Maintaining and scheduling data flow in SQL Server and SSIS - Designing 4 ML models in Azure Machine Learning Studio - Developing data collection and analytics systems in SQL Server and SSIS - Leveraged knowledge in Azure, Azure Data Factory, SQL Server, SSIS, Power BI