Ilan Goldenstein
Java/DevOps Architect & Tech Lead
New tech & development are my bread and butter. Even though tech is my main focus i am also adept at forming successful business relationships within the company.
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Primary Skills
skill/years
Expert
- Developing Java Classes 15
- Using threads / Cconcurrency Issues 12
- Functional Programing 4
- SQL 15
- Designing Database Schema 15
- Writing SQL Statements 15
- Implementing Data Access Classes 15
- Spring Boot 3
- Hibernate 8
- Spring 8
- Spring Data 2
- JPA 10
- JDBC 15
- Servlet API 15
- Linux OS 15
- Writing scripts 15
- Clustering and High Availability 12
- MySQL 12
- Tomcat 15
- Bugzilla 2
- Subversion 6
- Git 3
- Docker 3
- Vargrant 6
- Chef 3
- Hudson/Jenkins 6
- AWS 6
Developer
- Lambda Expressions 6
- Scala 1
- Creating ERD 15
- Optimization and Tuning 15
- MapReduce (Hadoop, Hive) 3
- Spark 2
- MongoDB 3
- Cassandra 3
- Redis 3
- Netflix Stack 2
- HTML&JavaScript 4
- NodeJS 2
- jQuery 1
- Machine learning 6
- Python 1
- R 1
Portfolio
Software & Devops engineer @ Solaredge
Created Continuous integration pipeline for solaredge. Solaredge is a company that creates PV solutions for the market. My original role was to architect and create a microservices infrastructure for solaredge. however since they did not have a CI pipeline i have proposed that create that for them instead. I have designed and created their CI pipeline. I have written the configuration management system. and redesigned the entire deployment flow (over docker). As the project’s chief architect i was responsible for choosing the technologies. strategy and design the workflow for this problem.
@ VI
VI - (Is a) startup which is aimed toward creating a virtual fitness mobile training app. My part was to design and implement backend and devops architectures over AWS. Backend prime language of choice was “kotlin” built partially over spring-boot. Devops (CI/CD) was run mainly over AWS ECS (fargate) and EC2 using docker.
Senior Backend Engineer @ Feedvisor
Feedvisor is a company which is aims to bring clients’ merchandise to the front in the amazon marketplace both by repricing them so that the product appears as the most preferred and by finding the best places to advertise the products in the amazon marketplace. The work mainly consists of working with AWS technologies consist mostly of S3, Athena, Glue. Non AWS technologies for working with the data mostly consist of Scala, Spark, Kafka and PostgreSQL.
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