Miguel A. Lobato

• Maintained legacy stack (Hadoop, Spark, Hive, Kafka), ensuring stability and SLA compliance

• Led migration to modern platform: Snowflake, DBT, Astronomer, Kafka, AWS, Kubernetes, Crossplane

• Built governance framework: data contracts, OpenLineage, catalog, RBAC, DQ testing, observability, policy-as-code

• Promoted data product thinking and implemented CI/CD for data pipelines

• Designed scalable MLOps platform with model training, MLflow tracking, deployment, and monitoring

• Deployed internal GPT-based assistant over company knowledge base

• Built feature store, model registry, and real-time inference infra

• Ensured responsible AI: explainability, fairness audits, traceability

• Facilitated collaboration between data science, ML, and platform teams

• Led lake house solution development in a startup using AWS, Spark, Kafka, Python, Delta Lake, and Kubernetes

• Orchestrated workflows with Airflow and managed infrastructure with Terraform

• Implemented monitoring with InfluxDB, CloudWatch, and Grafana

• Built data governance platform

• Embraced fail-fast, agile approach, collaborating with diverse stakeholders to rapidly iterate and deliver

• Co-founded an IT company specializing in business management applications, with responsibilities in software design, development, business development, and management