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Fernando Heitor
Senior Data Engineer @Valid
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WORK HISTORY
Senior Data Engineer @Valid
I act as a technical reference within the data engineering team, owning the architecture, extraction, and ingestion of sensitive citizen ID data, ensuring data availability, reliability, and governance in BigQuery, as well as the evolution and maintenance of legacy pipelines.I lead the planning of extraction strategies in predominantly on-premises environments, defining technical standards, best practices, and architectural decisions focused on performance, scalability, security, and cost efficiency. I use tools such as Dataflow, Cloud Run, Airflow, Dataproc with PySpark, and NiFi to orchestrate and automate large-scale data pipelines.Data is delivered into Raw datasets in BigQuery as the foundation for analytics teams. I work cross-functionally to support technical decision-making, drive the evolution of the data platform, and continuously mentor junior data engineers, raising the overall technical maturity of the team
EDUCATION
Universidade Cruzeiro do Sul
Tecnologo, Analise e Desenvolvimento de Sistema
ABOUT FERNANDO HEITOR
I am a data-focused professional with experience in tools such as Python, Spark, Airflow, APIs, Data Warehousing, Data Lakes, and various other tools, always seeking new innovations. I have a structured and systematic approach to problem-solving, prioritizing efficiency and organization in all my implementations. My attention to detail ensures that the solutions I develop are effective and successful, allowing me to achieve positive results in data analysis projects.I am always looking for ways to optimize processes and ensure that operations run smoothly. This mindset enables me to contribute significantly to my team and drive innovation in data initiatives.
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