• Developed backend services using Kotlin with Spring Boot and Kinesis
• Manage data platform including Airflow, dbt, Athena, metabase
• Implement IaaS using Pulumi and CDK
• Optimized Postgres and Athena queries for improved system performance

• Create an AI legal assistant with modern ML capabilities.
• Implement RAG architecture, with data pipelines for legal data search.
• Use AWS Bedrock for LLm and embedding models and LangChain/LangGraph
• Python with FastApi for backend and React for frontend

• Implement MVP for a SaaS process management and communication tool for SMEs.
• Create a business and tech plan for a startup in the food industry.
• Interact with investors and attempt to raise capital.

• Implementing data pipelines using airflow and redshift
• Introducing CI/CD using github actions and cloudformation

• Developed scalable services for warehouse operations using Spring Boot
• Migrated backend services from Clojure to Kotlin

• Maintaining a large Redshift cluster with hundreds of nodes and utilizing tools such as Spectrum Athena, Glue, and Presto. Designing and optimizing data pipeline processes using both ETL and ELT approaches, and debugging and analyzing data processes to identify and resolve issues
• I have a strong foundation in low-level query optimization and parameter tweaking to improve performance, and I am proficient in using Apache Airflow to design and implement data pipelines
• I have also worked on creating a data pipeline for converting raw GIS data into a modeled and optimized structure, using tools such as Elasticsearch and Grafana for monitoring

A project focused on mobility control and monitoring. My responsibilities included setting up a complete production environment in a Kubernetes cluster and maintaining the ELK stack, Prometheus, Grafana, Kong, MongoDB, PostgreSQL, and InfluxDB. I also played a key role in setting up logging, monitoring, and alerting for the project. In addition, I was responsible for designing and implementing scalable and highly available backend systems using Java and Spring-Boot. My experience at Siemens Mobility allowed me to gain expertise in a range of technologies and work on challenging projects that have had a significant impact on the company. I am a proactive and detail-oriented engineer who is always seeking to improve and expand my skillset, and I am comfortable working in fast-paced, dynamic environments

• Set up and maintained production environments in Kubernetes
• Developed microservices in Java using Spring Boot
• Established CI/CD pipelines and implemented robust monitoring solutions

• Maintained a Redshift deployment with 400 nodes, with Spectrum Athena and Glue. Designing and optimizing data pipeline processes, debugging and analysis of data processes
• Low level query optimization and parameter tweaking for improving performance
• Createda data pipeline for converting raw GIS data into a modeled and optimized structure. Using Apache Airflow, for the pipeline and elasticsearch and grafana for the monitoring

• Build a backend system for an IOT startup, based on Scala and akka cluster, using AWS Lambda, DynamoDB, Redshift.
• Analyze and debug production issues in the system. Provide full visibility and monitoring to the system

• Design and Development of a scalable and modular system from the first stage, in a continuous integration environment.
• Leading the project with development teams in Israel and abroad.
• Responsibility for developing and designing servers, communication and data storage facilities
• Using Java and Scala languages as well as Cassandra, Redis and Mysql databases and a message queue.

• Designing and developing of high load multi threaded server side systems.
• Systems written in Java using Spring on Tomcat.
• Implementing POC for projects that became an integral part of the system.
• Leading the Mysql field, taking care of performance issues, query optimization and scheme definition.

• Design and development of Command & Control systems for the network communication field, written in Java and C++.
• Extensive use of Oracle database and PL-SQL.