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Adept at modern ETL workflows using tools like dbt and Fivetran. Fernanda is passionate about ensuring data quality and accessibility through tight integration of analytics tools and robust version-controlled pipelines.

Experience building scalable batch and streaming data platforms. He specializes in distributed data processing using Spark and Kafka, and is proficient in architecting cost-effective data lakes and data warehouses on AWS. João brings a systems-thinking mindset and strong DevOps skills to every project.

Verified expert with a strong track record in designing and maintaining robust data pipelines and infrastructure. Skilled in building scalable ETL processes, optimizing data workflows, and enabling real-time analytics to support data-driven decision-making across diverse business environments.

Certified data engineering specialist with deep expertise in big data technologies and distributed systems. Adept at architecting reliable data lakes and warehouses, integrating complex data sources, and ensuring efficient, high-throughput data delivery for analytics and machine learning applications.
Ensure integrity, compliance, and discoverability across datasets.
Orchestrate robust data workflows to extract, transform, and load from various sources.
Architect modern data ecosystems to support BI, ML, and analytics at scale.
Build fault-tolerant batch and stream pipelines for real-time and historical analytics.
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