Ilya Arapov

- Architected and developed scalable backend services using FastAPI/GIN, serving internal data engineering tools and reducing data processing latency by 50% across distributed systems. - Implemented a YAML-driven workflow execution system integrated with Airflow and Databricks, automating data jobs and reducing process launch errors by 40%. - Built AWS Lambda functions to import and process messages from Amazon SQS, integrating them into Databricks for further analytics, reducing message processing latency by 30%. - Built and maintained a Java-based CCPA Privacy Service using Spring Boot, handling regulatory data deletion, export, and retention workflows with high reliability. - Built high-performance microservices in GoLang for real-time message processing and inter-service communication using gRPC, achieving 30% improvement in service-to-service latency while handling thousands of concurrent requests. - Configured CI/CD pipelines in GitLab for automated deployment and testing of high-volume services, shortening the time-to-market for new features by 25%.

- Enhanced operational efficiency by 60% through developing solutions for business and commercial services. - Automated data extraction, report creation, and email distribution by building ETL workflows with Apache Airflow. Simplified project deployment using Docker, leading to a 40% reduction in deployment time. - Configured servers and developed serverless applications on AWS, optimizing infrastructure costs by 30%. - Integrated CI/CD to project with Jenkins, reducing deployment speed by 40%. - Developed a search engine bot to efficiently locate information within internal documents, improving data retrieval speed by 50%. - Mentored a trainee who was promoted to junior.

- Developed Python parsers and API connectors to automate data retrieval processes, reducing manual efforts by 35%. - Managed Airflow configurations and DAG deployments to ensure seamless task automation. - Automated routine tasks using Airflow, streamlining workflows and improving task completion time by 20%. - Consolidated and analyzed advertising campaign data to optimize media planning and reporting that saved more than 15% of work time. - Developed interactive BI dashboards in QlikSense for monitoring advertising budgets, tracking Google - - - Analytics statistics, and analyzing competitor pricing, aiding strategic decision-making.

- Developed from scratch and managed NFT projects, including the generation of unique digital assets on Solana and ETH blockchain. -Created scalable web3 automation microservices using GoLang and Python, implementing distributed event processing for blockchain networks and improving system efficiency through concurrent programming patterns - Architected backend for websites using FastAPI and GIN, ensuring reliability and security of systems. - Developed automated Telegram bot for sales process optimization, implementing real-time message processing and improving customer experience through intelligent automation