Aquarela Analytics builds data infrastructure and AI solutions for large industrial and enterprise clients across Brazil. The tech stack—Python, Airflow, Spark, Kafka, dbt, and multi-cloud (AWS/GCP/Azure)—reflects a data platform engineering operation focused on ETL and warehousing. Active projects center on migrating legacy data warehouses and improving pipeline reliability, while pain points around legacy code maintenance suggest they're consolidating fragmented data estates for clients undergoing digital transformation.
Aquarela Analytics is a data engineering and AI consulting firm based in Florianópolis, Brazil, serving large industrial and enterprise organizations through Industry 4.0 transformation projects. The company works with clients across aerospace, automotive, telecommunications, food and beverage, healthcare, energy, and oil and gas sectors. Core capabilities span advanced analytics, machine learning, data governance, and system integration, delivered by a distributed team across Brazil. Projects focus on data warehouse migration, ETL optimization, and reliable data pipeline design for clients scaling analytics and AI operations.
Python, Apache Airflow, Apache Spark, Kafka, dbt, Docker, Kubernetes, AWS/GCP/Azure, SQL/NoSQL, Trino, Delta Lake, Iceberg, and observability tools like Prometheus and Grafana.
Migrating data warehouses and data lakes, improving ETL processes, and designing reliable data pipelines for large enterprise clients.
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