With over 10 years of experience in systems administration, DevOps, and backend development for high-load platforms, I help businesses design and build resilient, distributed architectures. My background includes years of working on high-scale IoT/telematics systems, which gives me a deep understanding of how to handle millions of concurrent messages and maintain 99.9% uptime. What I can help you with: • High-Load Architecture: Designing scalable, cluster-native systems from scratch using the JVM reactive stack. • Monolith to Microservices: Deconstructing legacy applications into clean, maintainable, and reactive services. • Akka/Pekko Ecosystem: Building systems with Actor Model, Streams, Cluster, Sharding, and CQRS/Event Sourcing. • Infrastructure & DevOps: Bridge the gap between code and production. I configure CI/CD pipelines, optimize database performance (ClickHouse, PostgreSQL, Cassandra), and manage deployments on Linux/Kubernetes. My Technical Stack: • Languages: Java (up to 21), Scala • Frameworks: Apache Pekko / Akka (Actors, Streams, Cluster, Persistence), Spring Boot, Spring WebFlux • Databases: PostgreSQL, Cassandra, ClickHouse, MySQL • DevOps: Linux (Debian/CentOS), Docker, Kubernetes, Helm, CI/CD pipelines Whether you need to migrate a legacy system, optimize your database bottlenecks, or build a scalable real-time streaming platform from scratch, I am ready to assist.

We help startups, enterprises, and public sector organizations build secure, scalable, and future-ready digital solutions that drive real business impact. From idea to deployment, we combine engineering excellence with strategic thinking to deliver technology that improves efficiency, accelerates growth, and unlocks new opportunities. Our Core Expertise Artificial Intelligence & Machine Learning (Generative AI, LLMs, NLP, Computer Vision) Data Engineering & Advanced Analytics (Data pipelines, real-time processing, business intelligence) Full-Stack Development & API Integration (Modern web apps, SaaS platforms, system integrations) Cloud Architecture & DevOps (AWS, GCP, Docker, Kubernetes, CI/CD automation) Workflow Automation & Business Process Optimization (Custom enterprise tools, low-code automation) DevSecOps & Security Solutions (Monitoring, SIEM, secure infrastructure) Blockchain & Web3 Development (Smart contracts, Solidity, Hyperledger, decentralized apps) What We Deliver Enterprise-grade, scalable software architectures AI-powered applications and intelligent automation High-performance, cloud-native platforms Data-driven solutions with actionable insights Secure, production-ready systems built for scale End-to-end delivery — from architecture to deployment

Experienced Data Engineer, Developer, and Graphic Designer with a proven track record of delivering impactful technical and creative solutions. Skilled in designing and optimizing data pipelines, developing scalable applications, and creating compelling visual content that strengthens brand identity. Proficient in SQL, ETL/ELT processes, data warehousing, and business intelligence tools such as Power BI, alongside advanced expertise in CorelDraw, Adobe Photoshop, Illustrator, and Canva. Key achievements include: - Automating database documentation and metadata management through locally hosted web interfaces. - Designing and implementing BI systems that enabled data-driven decision-making and improved operational efficiency. - Developing data warehouses and optimizing SQL queries to enhance data accessibility and analysis. - Managing complete design project life cycles, ensuring brand consistency under tight deadlines. Eager to leverage this unique blend of data engineering, software development, and design expertise to deliver high-impact solutions that align technical innovation with creative industry insights and client-focused outcomes.

Backend Engineer with 5+ years building scalable, production-grade systems — microservices, gRPC/REST/GraphQL APIs, and event-driven architecture for high-load environments. Polyglot by choice: primary in Go & Node.js/TypeScript, and productive in Python and Kotlin/Java (Spring Boot) — I pick the right tool for the job rather than forcing one stack. Proven across multiple domains: • Gaming — a core game-engine module that cut new-game dev time from 1–2 weeks to ~4 hours; real-time session & state. • Fintech/Payments — payment & transaction flows with gRPC and event-driven processing, built for consistency and reliability. • Retail at scale — microservices for a platform serving hundreds of thousands of users, stable at 20–25K req peaks. • Healthcare — microservices & schema design for a clinical disease-management platform. Full-stack when needed: I build React + TypeScript front-ends (TanStack Query/Router, Tailwind CSS, shadcn/ui) and admin dashboards, so I can deliver features end to end. Full backend stack: PostgreSQL/MySQL/MongoDB, Redis, Kafka/RabbitMQ, AWS/GCP, Docker/Kubernetes, observability (Prometheus/Grafana/ELK). I also use AI tools (Claude, Cursor, MCP) to ship faster without cutting quality. I work best in written English and async collaboration across time zones — clear written updates, documented code, and steady progress you can follow. Let's build something reliable and fast.

I build real-time data pipelines. Kafka ingestion, cloud warehousing, dashboards, applied AI — whatever the job actually needs, from a quick weekly extract to something that has to run flawlessly under load. Proof, not just claims: a live forex data pipeline running on Kafka and Prometheus/Grafana, built around DORA and FINMA operational-resilience principles. Dashboard's public, full write-up on request. Don't know yet what you actually need? That's fine, most people don't. Free consultation on your current setup before anything gets built. No obligation, no upsell. IBM Data Engineering Professional Certificate, Microsoft AI-103 in progress — not because a badge proves anything on its own, but because it means I'm not just winging the parts of this that are easy to get subtly wrong.

I’m a full-stack web developer experienced in building modern, scalable, and responsive web applications from start to finish. I work with Rust, JavaScript, Node.js, Express.js, React.js, MongoDB, SQL, Redis, TiKV, Tailwind CSS, and CSS. I can help with the complete development lifecycle, including: Frontend and backend development REST API development and integration Database design and integration Authentication and authorization Real-time applications and WebSockets Responsive and modern UI development Performance optimization Bug fixing and troubleshooting Deployment and production setup I can manage your project from initial requirements and development to testing, deployment, and final delivery, ensuring clean, maintainable, and reliable code throughout the process.

I am a Data Engineer with a solid foundation in software development, armed with over four years of practical experience. At my most recent role, I focused on creating efficient data processing pipelines, enabling organizations to leverage data for actionable insights. My background includes hands-on experience in application development and a strong academic foundation in engineering from top universities. I specialize in transforming complex data into comprehensive solutions that drive decision-making. If you need someone who can design, optimize, and maintain data systems while ensuring data integrity and performance, I am here to help. Let’s discuss how I can contribute to the success of your project.

I’m a full-stack developer specializing in building scalable web and mobile applications with a strong focus on backend systems and security. I work with Node.js, Express, FastAPI, and React to develop efficient and reliable applications, and I have experience with databases like PostgreSQL, MySQL, and ClickHouse. I also build Android and Flutter apps and perform security testing using VAPT techniques and tools like Burp Suite. Whether you need a complete application, backend APIs, or a secure and high-performance system, I can help deliver a clean and effective solution from start to finish. I value clear and consistent communication throughout the development process.

Need help modernizing your infrastructure, automating operations or solving complex production issues? I'm a Senior Infrastructure & Platform Engineer with 15+ years of experience designing, automating and operating enterprise infrastructure across on-premises and cloud environments. I help companies build reliable platforms, reduce operational overhead and improve infrastructure through automation, architecture reviews and production troubleshooting. My areas of expertise include: • Linux Infrastructure & System Administration • Infrastructure Automation (Ansible, Terraform, Python) • VMware, Proxmox & Ceph • Docker & Kubernetes • ClickHouse, Elasticsearch, Kafka & MongoDB • Monitoring & Observability (Prometheus, Grafana, OpenTelemetry) • Infrastructure Architecture Reviews • Production Performance & Reliability • Disaster Recovery & Backup Solutions Throughout my career I've worked with enterprise environments, designed highly available infrastructure, automated provisioning, migrated production platforms and improved observability for business-critical systems. Whether you need help troubleshooting an issue, reviewing your infrastructure, automating repetitive tasks or planning a platform modernization, I'd be happy to help. Available for consulting, short-term projects and long-term contracts.

Data Engineer with 3+ years of experience in SaaS analytics, specialising in Lakehouse and Data Warehouse architecture, ETL/ELT pipelines, and dbt-based data modeling. I re-architect fragmented operational data into governed, analytics-ready platforms. That work cut a core pipeline's runtime by 90% and, paired with better dashboards, helped grow revenue 67% at my last company. My focus spans data engineering and BI: replacing slow batch jobs and dashboards nobody trusts with pipelines finance and product teams can rely on. Key impact: • Cut total pipeline runtime by 90%, from 40 minutes (ingestion only) to about 4 minutes end to end, by re-architecting the company's Data Warehouse from a full load into a Lakehouse with dbt-based incremental ingestion • Reduced dashboard load times by up to 96% (about 30 seconds to about 1 second) by refactoring the BI layer in Metabase • Built the company's first consolidated Data Warehouse, unifying PostgreSQL and MongoDB, then used it to cut overflow accounts 52% and grow revenue 67.35% Core expertise: • Data Engineering: ETL/ELT pipelines, dimensional modeling (Star Schema), Medallion architecture, incremental ingestion • Tools & Orchestration: dbt, Docker, Apache Airflow, GitHub Actions (CI/CD) • Databases & BI: PostgreSQL, MongoDB, ClickHouse, Delta Lake, Metabase, Streamlit • Programming: Python, SQL, PySpark I hold a Bachelor's in Computer Engineering from Instituto Federal Catarinense, with certifications in Google Data Analytics, Databricks Data Ingestion with Lakeflow Connect, and Microsoft Azure AI Fundamentals (AZ-900).