Danijel Soldatic Email & Phone Number

Rijeka, Hr

Zagreb, Croatia

• Spearheaded the design of logistic management software using Go(Golang) for backend services, Node.js for real-time tracking of APIs, React.js for interactive status dashboards, and Docker for containerizing microservices, achieving a notable reduction in project timelines by 25%.• Configured and integrated Kubernetes clusters for critical applications, utilizing Helm for package management on AWS EKS and scaling transportation management, reducing deployment time by 40%.• Directed the development of GraphQL APIs in Node.js (using Apollo Server) and Go to improve data querying across transportation and warehouse domains, boosting data retrieval speed by 30%.• Applied partial indexes to improve database indexing in PostgreSQL and conducted query plan analysis, resulting in 20% faster query execution and advanced server performance for large-scale logistics operations.• Achieved a 30% decrease in server response times by introducing AWS EC2 instances and S3 bucket optimizations along with data lifecycle policies for long-term storage of shipping manifests and warehouse records.• Innovated cloud solutions with AWS Lambda, reducing server costs by 20%, and minimized server response times via event-triggered processing for automated notifications regarding shipment status changes and inventory levels.• Integrated IoT devices using MQTT protocol for real-time tracking of warehouse environmental conditions and vehicle telemetry, improving shipment quality control and reducing spoilage rates by 25%.• Crafted a real-time data streaming pipeline through Apache Kafka to provide instant updates across the logistics network, ultimately reducing data latency by 70%.• Produced a custom anomaly detection system with unsupervised learning algorithms leading to a 35% increase fraud detection.

Zagreb, Croatia

• Realized a 50% reduction in server response time by optimizing backend processes in Python (using Celery for task queuing) and tip calculation algorithms in addition to automating tip distribution processes.• Launched GraphQL (using Apollo Server) and RESTful APIs in Node.js (Express.js) and Go (Gin framework), simplifying integration with Point of Sale systems and payment processors, achieving a 30% increase in data reporting efficiency.• Ensured the tip management system remained operational 24/7 across multiple time zones by utilizing Kubernetes clusters, reducing updates and new feature deployment time by 40%.• Employed Redis caching for frequently accessed data, leading to a dramatic reduction in API response times by 40% and maximizing application performance during the height of restaurant operations.• Coordinated the migration of legacy tip distribution data to AWS DynamoDB and introduced partition and sort keys, achieving a 25% increase in scalability and reliability for historical tip data analysis.• Designed and launched a microservices architecture for breaking down the monolithic tip management system into multiple services, delivering 100% uptime through containerization with Docker and orchestration with Kubernetes.• Diminished inter-service latency by 60% and enriched overall system performance during high-load periods by incorporating gRPC for efficient communication between microservices.• Facilitated the gradual rollout of new tip calculation methods which reduced the risk of system-wide issues and improved the reliability of feature releases by 80%.

Zagreb, Croatia

• Optimized front-end performance using React and JavaScript, reducing load times by 20%. • Crafted high-performance queries in Node.js and Go, cutting data retrieval times and latencies by 25%. • Debugged and fixed critical issues using JavaScript, leading to a more stable codebase. • Assisted in the development and debugging of web applications using JavaScript, React, and Node.js, contributing to a 15% increase in project delivery speed by streamlining the coding process. • Assisted senior developers in coding and debugging for a web application that increased user engagement by 25%, utilizing technologies like JavaScript, React, and Node.js.