07/08/2026 updated
100 % available
Senior Full Stack Software Engineer | Python | React, Angular | Data Engineering
Bolzano, Italy
Only remote
MSc, Computer ScienceAbout me
Results-driven Senior Full-Stack Engineer with 5+ years of experience designing, scaling, and optimizing distributed systems, high-throughput backend APIs, and enterprise data pipelines. Proven track record of translating complex business requirements into scalable technical solutions.
Systems EngineeringCloud EngineeringData SystemDistributed Computing EnvironmentDistributed Data StoreDjangoMultiprocessingDatabase EnginesReact.jsServer SystemsAngularJSData Pipeline
Python & Backend Development
Expertise in Python with frameworks such as FastAPI, Django, Flask, and PySpark for building high-throughput backend APIs and distributed systems at scale.
Data Engineering & ETL Pipelines
Extensive experience designing and engineering enterprise ETL/ELT pipelines, managing multi-terabyte datasets using tools like PostgreSQL, MySQL, Clickhouse, Elasticsearch, and Redis.
Cloud & DevOps
Proficiency in cloud and DevOps technologies including Azure, Databricks, Docker, CI/CD pipelines, and monitoring tools such as Prometheus and Grafana.
Distributed Systems Architecture
Strong background in designing and scaling distributed systems, applying asynchronous execution patterns and microservices architectures to ensure system elasticity and reliability.
Message Queuing & Event-Driven Systems
Hands-on experience with Kafka, RabbitMQ, and Celery for building event-driven, asynchronous service architectures.
Database Optimization
Proven ability to optimize database performance at billion-row scale using PostgreSQL, MySQL, Clickhouse, and Redis caching mechanisms.
API Design & Scalability
Track record of designing highly scalable APIs that improved cross-team data accessibility by 30% and scaled production API throughput by 300%.
Containerization & Deployment
Experience orchestrating multi-environment containerization strategies via Docker, eliminating deployment friction and shortening developer onboarding.
Legacy System Modernization
Demonstrated ability to lead legacy modernization initiatives, refactoring critical monolithic modules into decoupled microservices.
Expertise in Python with frameworks such as FastAPI, Django, Flask, and PySpark for building high-throughput backend APIs and distributed systems at scale.
Data Engineering & ETL Pipelines
Extensive experience designing and engineering enterprise ETL/ELT pipelines, managing multi-terabyte datasets using tools like PostgreSQL, MySQL, Clickhouse, Elasticsearch, and Redis.
Cloud & DevOps
Proficiency in cloud and DevOps technologies including Azure, Databricks, Docker, CI/CD pipelines, and monitoring tools such as Prometheus and Grafana.
Distributed Systems Architecture
Strong background in designing and scaling distributed systems, applying asynchronous execution patterns and microservices architectures to ensure system elasticity and reliability.
Message Queuing & Event-Driven Systems
Hands-on experience with Kafka, RabbitMQ, and Celery for building event-driven, asynchronous service architectures.
Database Optimization
Proven ability to optimize database performance at billion-row scale using PostgreSQL, MySQL, Clickhouse, and Redis caching mechanisms.
API Design & Scalability
Track record of designing highly scalable APIs that improved cross-team data accessibility by 30% and scaled production API throughput by 300%.
Containerization & Deployment
Experience orchestrating multi-environment containerization strategies via Docker, eliminating deployment friction and shortening developer onboarding.
Legacy System Modernization
Demonstrated ability to lead legacy modernization initiatives, refactoring critical monolithic modules into decoupled microservices.
Experience
Professional experience5 - 10 years
Freelancer since2021
Languages
EnglishFluent
Project history
Architected internal core data platforms from the ground up using asynchronous FastAPI architectures. Improved cross-team data accessibility by 30% through scalable API design. Engineered distributed enterprise ETL pipelines using PySpark on Azure Databricks to manage multi-terabyte datasets. Optimized data processing workflows reducing pipeline execution time by 40%. Scaled production API throughput by 300% via distributed Redis caching and asynchronous execution patterns.
Built high-throughput reporting APIs delivering real-time business intelligence to executive stakeholders. Orchestrated multi-environment containerization strategies via Docker, eliminating deployment friction. Led legacy modernization initiatives, refactoring monolithic modules into decoupled microservices using Python, Django, PostgreSQL, Celery, Clickhouse, and Redis.