Alejandro 👋

Senior Data Engineer with 7+ years of experience designing and delivering scalable, cloud-native data platforms and analytics solutions. Proven expertise in building end-to-end data pipelines from requirements gathering through production deployment and maintenance, integrating large and complex datasets from APIs, databases, and flat files. Strong background in Python-based data engineering, including developing production-grade data applications using modular design, object-oriented programming (OOP), type hinting, and test automation (pytest). Extensive experience working with Snowflake data warehouses, Airflow orchestration, and modern ETL/ELT frameworks. Hands-on experience with AWS (S3) and Azure cloud ecosystems, containerization using Docker, and CI/CD pipelines using Azure DevOps and Git-based workflows. Adept at collaborating with data science, product, and engineering teams, acting as a technical liaison, and delivering reliable data infrastructure in fast-paced environments. Technical skills Programming & Software Engineering Python (production-grade development), SQL Python best practices: PEP8, type hinting, OOP, modular design, code reusability Test automation: pytest Data frameworks: Pandas, PySpark Data Engineering & Pipeline Development ETL/ELT pipelines, data transformation, data modeling, metadata management Workflow orchestration: Apache Airflow, Azure Data Factory (ADF), DBT Handling large datasets from APIs, databases, flat files, and streaming sources Cloud & Data Platforms AWS: S3 Azure: Data Factory, Blob Storage, Synapse Data Warehousing: Snowflake (advanced), SQL Server Big Data & Processing PySpark, distributed data processing Data optimization techniques (partitioning, performance tuning) DevOps & Infrastructure Docker (containerization) CI/CD: Azure DevOps, Git-based workflows Version control: Git Data & Analytics Data modeling (Kimball, Inmon) Data warehouse architecture BI Tools: Power BI, Tableau Development Practices Agile methodologies (Scrum, Kanban) Stakeholder collaboration and requirements gathering End-to-end ownership of data solutions