Eduard – AWS, Python, ETL

An enterprise HR data lake that ingests and cleans master data from approximately 400 internal applications. The solution uses cloud-native ETL pipelines to automate data ingestion and cleansing, with AWS Step Functions, DynamoDB, AWS CDK, Python, and Snowflake supporting data processing and management.

• Collaborated directly with business stakeholders to define and align system requirements for an enterprise HR data lake spanning approximately 400 applications;
• Developed cloud-native ETL pipelines using AWS Step Functions, DynamoDB, AWS CDK, Python, and Snowflake to automate data ingestion, cleaning, and master data management;
• Applied specification-driven development and leveraged Claude Code for advanced context engineering to accelerate pipeline implementation and maintain high software quality.

A developer-first cybersecurity SaaS platform that automates code and container scanning. It integrates with source control management systems such as GitHub and Bitbucket to ingest repository data and support security analysis.

• Architected and developed scalable microservices using TypeScript, deployed in Kubernetes clusters with CI/CD pipelines using Argo Workflows;
• Integrated real-time messaging with Kafka and NATS, and data layers using PostgreSQL and MongoDB;
• Championed performance optimization and reliability, reducing latency and improving throughput across services;
• Influenced architectural decisions and the adoption of best practices across engineering teams;
• Operated in multi-cloud environments across AWS and GCP, focusing on scalability, cost efficiency, and security.

A digital travel platform enabling custom tour planning and booking for both B2B and B2C markets. As Software Architect and Lead Fullstack Engineer, I owned system delivery end-to-end — refactoring legacy architectures into modular AWS serverless microservices and building cloud APIs to streamline itinerary workflows and operational speed.

• Architected and developed scalable microservices using TypeScript, deployed in Kubernetes clusters with CI/CD pipelines using Argo Workflows;
• Integrated real-time messaging with Kafka and NATS, and data layers using PostgreSQL and MongoDB;
• Championed performance optimization and reliability, reducing latency and improving throughput across services;
• Influenced architectural decisions and the adoption of best practices across engineering teams;
• Operated in multi-cloud environments across AWS and GCP, focusing on scalability, cost efficiency, and security.

A modular cyber intelligence platform providing complex data search and operational analysis. As Solution Architect, I translated product team workflows into comprehensive technical specifications — defining data schemas, component models, and non-functional requirements.

• Worked on the design of a cyber intelligence platform from concept to production, defining architecture, data models, and system integrations.
• Created technical designs for modular components ensuring system interoperability and scalability.
• Led system-wide performance and resilience improvements through design reviews and optimization.
• Collaborated across product, development, and QA teams to ensure smooth implementation and alignment with requirements.