Thomaz Antonio Rossito Neto
Community@thomazrossito · Jaraguá do Sul - SC
Profissional com mais 5 anos voltados a projetos de Big Data Engineer.
Agent Skills by Thomaz Antonio Rossito Neto
Showing 69 vetted skills indexed across 2 GitHub repositories.
ThomazRossitoteradata-to-databricks
Migrates Teradata data warehouses to Databricks using deterministic DDL generators and reconciliation scripts.
ThomazRossitodatabricks-ml-training
Train and register ML models on Databricks with MLflow and Unity Catalog.
ThomazRossitopipeline-design
Designs Medallion architecture ETL/ELT pipelines with mandatory Lakeflow rules for Databricks and Fabric.
ThomazRossitosql-generation
Generates SQL syntax for Databricks, Fabric Synapse, and KQL Eventhouse platforms.
ThomazRossitohadoop-to-databricks
Migrates Hadoop ecosystems to Databricks through an eight-phase playbook with deterministic DDL generators.
ThomazRossitofabric-ontology-owl
Import, export, design, and synchronize OWL ontologies with Microsoft Fabric OneLake and Fabric IQ.
ThomazRossitoazure-spec-audit
Extracts text with location traceability from documents and audits them against Azure Specialization Module B controls.
ThomazRossitoazure-pricing
Calculates Azure architecture costs from natural language descriptions using the Azure Retail Prices API.
ThomazRossitodatabricks-lakeflow-connect
Build managed ingestion pipelines from SaaS apps and databases into Databricks Unity Catalog.
ThomazRossitopython
Provides Python development patterns for FastAPI, pandas, polars, pytest, packaging, asyncio, and CLIs.
ThomazRossitofabric-deployment-pipelines
Manage Microsoft Fabric deployment pipelines and CI/CD stage deployments via REST API.
ThomazRossitodata-quality
Validate PySpark and Delta pipelines with null checks, duplicates, and Lakeflow expectations.
ThomazRossitodatabricks-core
Configure Databricks CLI authentication, profiles, and data exploration commands.
ThomazRossitodatabricks-pipelines
Develop Lakeflow Spark Declarative Pipelines on Databricks with Python or SQL.
ThomazRossitofabric-monitoring-dmv
Monitor Fabric semantic models via DMV queries against the XMLA endpoint.
ThomazRossitodatabricks-apps-python
Builds and deploys Python backends for Databricks Apps using FastAPI, Flask, Dash, Streamlit, Gradio, or Reflex.
ThomazRossitodatabricks-observability-migration
Maps SQL Server monitoring to Databricks system tables, alerts, and tuning workflows.
ThomazRossitodatabricks-apps
Build and deploy custom data applications on the Databricks Apps platform.
ThomazRossitofoundry-engineer
Generates Microsoft Foundry agent specifications and platform playbooks with governance checklists.
ThomazRossitofabric-medallion
Design Bronze, Silver, and Gold Medallion pipelines in Microsoft Fabric Lakehouse using Delta Lake.
ThomazRossitossis-to-databricks
Parse SSIS .dtsx packages and convert them to Databricks PySpark, Delta, and Lakeflow pipelines.
ThomazRossitossas-to-databricks
Parse SSAS tabular models and convert them to Databricks Delta tables, Metric Views, and RLS.
ThomazRossitodatabricks-app-design
Designs data-screen UX for custom-code Databricks Apps mapped to AppKit React components.
ThomazRossitoazure-devops-engineer
Configures Azure DevOps pipelines, branch policies, and Boards hierarchies via the official MCP server.
Frequently Asked Questions About Thomaz Antonio Rossito Neto
FAQPage SchemaWhat tasks can I execute using ThomazRossito's skills?▼
You can run end-to-end migrations from SQL Server, Teradata, Hadoop, SSIS, and SSAS to Databricks, build streaming and batch pipelines with Spark and Lakeflow, govern data via Unity Catalog, deploy MLflow models to serving endpoints, create AI/BI dashboards, and model Azure/Databricks TCO scenarios.
Who are these skills designed for?▼
Big Data engineers, data platform architects, and analytics engineers working on Databricks or Microsoft Fabric. Migration playbooks target engineers modernizing legacy warehouses, while FinOps skills serve cost calculators and the Foundry/DevOps playbooks target platform engineers.
What are the installation and runtime prerequisites?▼
Most Databricks skills require the Databricks CLI (versions >= v0.292.0 to v1.0.0 depending on the skill) with configured workspace profiles and authentication. Fabric skills operate via REST API, and migration playbooks use bundled deterministic generator scripts plus source-system discovery queries.
How do the legacy migration playbooks work?▼
Each playbook follows discovery (DMVs, BTEQ/JDBC, Beeline/HDFS), complexity scoring and wave planning, a human-approved SPEC proposal, deterministic code generation, source-to-target reconciliation, and a cutover/rollback runbook. SQL Server, Teradata, Hadoop, SSIS, and SSAS sources are covered.
Do these skills cover cost estimation and licensing?▼
Yes. The databricks-pricing and azure-pricing skills build PAYG vs DBCU comparisons, Photon on/off ROI, multi-region scenarios, and 12/24/36-month TCO from natural-language descriptions. A sizing-spreadsheet parser converts Excel T-shirt band estimates into structured cost scenarios without inventing values.