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DATAPAO Tech Stack
Databricks consulting firm covering data strategy, architecture, and ML productionization
DATAPAO is a data engineering and science consulting firm anchored on Databricks (partner since 2017), working across AWS, Azure, and GCP. The stack reveals a ML-forward consulting shop: beyond core data tools (Spark, Delta Lake, Airflow), they're deep in PyTorch, TensorFlow, MLflow, and MLOps — reflected in active projects around generative AI productionization and high-level AI architecture design. Hiring velocity is accelerating with senior and principal-level data roles in Hungary and Spain, while internal pain points center on scaling delivery and MLOps complexity.
Tech Stack 24 technologies
Core StackDatabricks Apache Spark AWS PySpark Delta Lake Unity Catalog Python MLflow PyTorch TensorFlow Apache Airflow Azure Data Factory AWS Glue Terraform CloudFormation Power BI Tableau Looker Azure SQL GCP MLOps AWS Step Functions Bicep
What DATAPAO Is Building
◆Challenges
- Mlops challenges
- Data architecture challenges
- Data engineering puzzles
- Ml ops puzzles
- Scaling consulting delivery function
- Complex data migrations
- Enterprise-level transformations
▲Active Projects
- Machine learning and generative ai projects in the databricks platform
- Productionize tailored ai applications in databricks
- Lead technical workshops for client ai teams
- Big data cloud engineering projects
- Delivery efficiency improvement projects
- Design high-level ai architectures for clients
- Data lakehouse buildouts
- Cloud data migrations
Hiring Activity
9 roles · 5 in 30d
Department
Seniority
Company intelligence
