Software Engineer

Speedata

1. ● Engineered and architected an APU simulator using Python, Go, and Scala to accelerate Data Analytics workloads proficiently.
2. ● Utilised Spark SQL and Jupyter with Pyspark on Azure VM, Synapse, HDInsight, AWS EC2, AWS Lambda, AWS Step Functions, S3, MongoDB, and ETL for robust Big Data solutions and analytics solutions.
3. ● Applied OOP and TDD principles to craft efficient and reliable code.
4. ● Conducted thorough code reviews, ensuring code quality and adherence to best practices.
5. ● Orchestrated seamless integration of cloud solutions at scale, optimizing deployment and performance through
6. Docker and Implemented a serverless architecture, optimizing scalability and cost-efficiency.
7. ● Managed and optimized large-scale applications within cloud environments, focusing on efficiency and reliability.
8. ● Proficient in Hadoop for efficient data management and streamlined workflows in complex technical environments.
9. ● Integrated Databricks into the analytics pipeline, leveraging its capabilities to process and analyze large volumes of
10. data efficiently.
11. ● proficient in utilizing Hadoop, ETL methodologies, as well as leveraging Numpy and Pandas for efficient data
12. processing and management in complex technical environments.

Software Developer

Nlight

1. ● Built the entire app backend from scratch using Python and Go.
2. ● Leveraged AWS and Azure cloud services such as Lambda, S3, CloudWatch, Step Functions, CloudFormation, and
3. Azure Data Lake for cloud infrastructure.
4. ● Employed MongoDB for NoSQL needs, Spark SQL, and MySQL for structured data.
5. ● Conducted comprehensive code reviews to ensure code quality and efficiency.
6. ● Implemented CI/CD processes using Jenkins for seamless integration and deployment.

Software Developer

BlackSwan Technologies

1. ● Wrote new code from scratch for various projects using Python, implementing best practices and design
2. ● patterns to improve code quality and maintainability
3. ● Participated in code review meetings, providing input on bugs, inefficiencies and potential solutions to emergent
4. issues.
5. ● Modified existing software systems to enhance performance and add new features.
6. ● Utilized unit testing and other methods to enhance quality.
7. ● Developed scripts to automate deployment and maintenance of public cloud resources.
8. ● Developed and maintained various Flash-based websites and use database such as DynamoDB MongoDb and Sql
9. database such as spark sql and PostgreSQL
10. ● Developed cloud-native applications using Amazon Web Services services such as EC2, S3, CloudFormation, Lambda
11. and API Gateway and Microsoft Azure solutions such as Azure Vm, Azure Synapse.

The Open University of Israel

Computer Science