AWS Engineer
About Candidate
- Proficient in designing, building, and configuring data engineering applications on cloud platforms to meet business and technical requirements.
- Expertise in deploying and managing scalable, modular microservices architectures using cloud-native technologies.
- Skilled in developing robust ETL pipelines using tools like Apache Spark for efficient data integration and processing.
- Experienced in building search applications utilizing Elasticsearch and integrating it with various infrastructural components.
- Strong background in developing API solutions, managing their full lifecycle, and improving system interoperability.
- Adept at deploying and securing cloud infrastructure, including private networking and data protection.
- Proficient in applying DevOps practices such as CI/CD and Infrastructure as Code (IaC) using Terraform for automated cloud infrastructure management.
- Demonstrated ability to develop backend infrastructure for advanced applications, including chatbots with Retrieval-Augmented Generation (RAG) capabilities.
- Knowledgeable in modern data architectures, including the adoption of lakehouse models for handling structured and unstructured data.
- Hands-on experience with machine learning, including building and deploying CNN models for binary classification tasks.
- Advanced expertise in Python scripting for simulation pre- and post-processing and data-related tasks.
- Background in mechanical engineering simulations, leveraging FEA, CFD, and mathematical modeling for optimizing automotive systems.
- Experience in cloud-based high-performance computing (HPC) environments to accelerate simulation workflows.
- Co-founded an e-commerce startup, contributing to business development and full-stack application development.
- Comprehensive skills in cloud platforms (AWS, Azure), containerization (Docker), and networking.
- Certifications in cloud and DevOps engineering, validating expertise in building and managing secure, scalable cloud infrastructures.