Data intelligence and LLM solutions for enterprise cloud migration
A3Data builds data pipelines, analytics platforms, and LLM inference systems for mid-market enterprises across Brazil. The stack reveals a heavily AWS-centric infrastructure (Bedrock, Glue, Lambda, Lake Formation, SageMaker, Redshift, Kinesis) with strong Python + Apache Airflow fundamentals — signaling active investment in cloud-native data workflows. Active work on RAG inference pipelines and token-cost optimization indicates they're moving beyond traditional BI into generative AI, while legacy-to-cloud migrations remain a core pain point.
A3Data delivers data strategy and implementation services focused on building data-driven cultures in organizations. The company structures analytics around three domains: cloud data lakes (AWS Lake Formation, Redshift, Glue), real-time and batch pipelines (Airflow, Spark, Kinesis), and emerging LLM applications (Bedrock, Hugging Face, RAG systems). Based in Belo Horizonte, they serve enterprise clients primarily across Brazil, with a senior-weighted team split between data (7 roles) and engineering (4 roles). Current hiring velocity is decelerating, with recent focus narrowing to specific pipeline and LLM deployment skill gaps.
Python, AWS (Bedrock, Glue, Lambda, SageMaker, Redshift, Lake Formation, Kinesis), Apache Airflow, Spark, PostgreSQL, MongoDB, Elasticsearch, Tableau, Power BI, and Hugging Face for ML/LLM work.
LLM model deployment, RAG inference pipelines, AWS data lake design, and data pipeline construction with Glue and Airflow. Current focus includes reducing token costs and improving LLM response quality.
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