Antonio S.
Senior Data Engineer
Proficient in Snowflake, SQL, Python, Postgres, dbt, and AWS (S3, Glue, Lambda), he has built multi-terabyte ingestion pipelines, developed Change Data Capture (CDC) frameworks using Streams and Tasks, and optimized data architectures to empower analytics teams.
His experience spans data modeling, real-time data ingestion, and query optimization through clustering and partitioning techniques. Known for combining hands-on pipeline development with strategic platform optimization, Antonio helps organizations achieve reliable, efficient, and cost-effective data operations.
Clients value his technical depth, attention to performance, and ability to translate complex data challenges into sustainable, business-driven solutions.
Main expertise
Python6 years
Google Cloud6 years
Azure4 yearsExperience3
Data Engineer
- Dockerized and modernized development environments, reducing setup time from hours to minutes.
- Designed and implemented reproducible ETL pipelines to seamlessly transfer data between staging and production-like environments.
- Automated data ingestion and transformation workflows, eliminating reliance on manual and error-prone test files.
- Improved system maintainability and reliability by introducing containerized services.
- Collaborated with cross-functional teams to establish best practices in data handling and pipeline management.
- Contributed to the leading digital care management platform used across the UK health and social care sector.
Docker
PostgreSQL
Ruby
AWS
ElasticSearchSoftware Engineer
- Re-engineered a legacy ERP system using FastAPI, improving scalability and reducing response times.
- Implemented Elasticsearch for advanced full-text search across millions of records, enhancing data retrieval efficiency.
- Developed asynchronous data pipelines with RabbitMQ, increasing throughput and enabling resilient, decoupled services.
- Designed and maintained REST APIs for external partners and B2B integrations.
- Optimized PostgreSQL database schemas and queries, reducing latency and improving overall system performance.
MySQLDockerPostgreSQLAWSElasticSearchSoftware \ Data Engineer
- Designed and implemented ETL pipelines for the Austrian Institute of Economy’s national data warehouse.
- Built ERP and CRM systems with a focus on clean, modular data architecture and maintainability.
- Developed tools for financial and tax return calculations across large, cross-border datasets.
- Delivered data-driven solutions for banking and e-commerce clients, including dashboards and analytics tools.
- Ensured data quality, integrity, and compliance across multiple industry domains.
PHPMySQLDockerPostgreSQLRubyEngineering excellence
All Senior Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Senior Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Antonio stands.
Score 179 · Top 15% of engineers
Education
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