Muoro's proprietary internal accelerator. Our data engineers use it every day to build client data platforms on Databricks faster, more consistently, and with fewer defects than any other approach.
When a client engages Muoro to build their ETL pipeline, migrate their legacy warehouse, or clean and structure their raw data — our engineers use Skionis to do that work.
When a client engages Muoro to build their ETL pipeline, migrate their legacy warehouse, or clean and structure their raw data — our engineers use Skionis to do that work.
Bronze → Silver → Gold medallion architecture deployed in days. Every layer — ingestion, cleaning, aggregation — configured through the accelerator, not hand-coded from scratch each time.
Source connectors to any existing system — MySQL, SQL Server, Oracle, SAP BW, files, APIs. Incremental sync with watermark tracking. Delta tables registered in Unity Catalog automatically.
PDFs, scanned documents, invoices, contracts — parsed and extracted into typed Silver tables using Databricks AI Functions. No custom ML pipeline needed.
Column mapping, type enforcement, deduplication, quality rules, and schema drift detection built into the Silver layer configuration.
Business-level JOIN tables across multiple Silver sources configured visually — no manual Spark SQL authoring required.
Natural language query interface powered by a semantic layer sits on top of Gold tables. Client analysts ask questions in plain English and get SQL-backed answers instantly.
Each module eliminates a class of repetitive engineering work. Together they cover the full lifecycle — from raw source data to business-ready Gold tables and Gen AI queries.
Each module eliminates a class of repetitive engineering work. Together they cover the full lifecycle — from raw source data to business-ready Gold tables and Gen AI queries.
Manual Databricks workspace setup, catalog/schema creation, credential management.
Authenticated workspace with Bronze, Silver, Gold schemas in Unity Catalog.
Writing bespoke ingestion scripts per source. Managing JDBC drivers. Handling auth per connector.
Live source connections with encrypted credentials in Databricks Secrets.
Building custom LLM extraction pipelines. Handling PDF parsing. Writing field validation.
Structured Silver Delta tables from any PDF, image, or document source.
Rewriting extraction logic for each document type. Managing prompt versions.
Reusable extraction templates with field types, prompts, and validation rules.
Writing Bronze and Silver PySpark notebooks. Wiring Databricks jobs. Managing schedules.
Deployed, scheduled Databricks jobs for every Bronze → Silver pipeline.
Writing Spark SQL JOIN logic. Configuring Gold table jobs. Testing aggregations.
Production Gold Delta tables built from visual JOIN configuration.
Building monitoring dashboards. Wiring notification pipelines. Writing audit logs.
Full run audit trail with Slack/email alerts on every job lifecycle event.

Every client project built through Skionis follows the Databricks-native medallion standard. Engineers do not architect this from scratch — the right table format, the right Unity Catalog structure, the right sync logic, applied consistently.
Every client project built through Skionis follows the Databricks-native medallion standard. Engineers do not architect this from scratch — the right table format, the right Unity Catalog structure, the right sync logic, applied consistently.
Generates the ingestion notebook for any source type — JDBC, file, API, document. Registers the raw Delta table in Unity Catalog. Full-fidelity, no transformation at this stage.
Generates the transformation notebook with column mapping, type casting, deduplication, and watermark-based incremental logic. Wires Bronze and Silver tasks into a single two-task Databricks job sharing one cluster for cost efficiency.
Visual JOIN builder generates production Spark SQL for multi-source aggregation tables. Supports Silver tables and other Gold tables as sources. Registers output in Unity Catalog. Zero SQL authored by the engineer.

Live DAG lineage view — 18 nodes · 17 connectors · Bronze sources through Gold aggregate tables
A Muoro data engineer onboards a complete production Databricks pipeline using Skionis. From client brief to live Gold tables and dashboards — in seven steps.
A Muoro data engineer onboards a complete production Databricks pipeline using Skionis. From client brief to live Gold tables and dashboards — in seven steps.
Engineer navigates to Workspace Manager, enters workspace URL and credentials. Skionis validates connectivity, discovers Unity Catalog structure, and sets Bronze, Silver, Gold schemas — in under 5 minutes.
Connector Hub offers 50+ pre-built connectors. Credentials are encrypted with AES-256-GCM and written to Databricks secret scope. Schema discovery runs automatically — no ingestion code written at this stage.
Select sync mode (Full Refresh or Incremental with watermark column) and set a cron schedule. Skionis generates a production-grade PySpark notebook, deploys it, and creates the Databricks job — automatically. 10+ source tables in under 2 hours.
Map source columns to target names, set data types, apply null filters, configure deduplication key. Skionis generates transformation notebooks with full watermark-based incremental logic using Delta's Change Data Feed. Engineers do not write Spark code.
Drag Silver tables onto the visual canvas. Select join types (INNER, LEFT, RIGHT, FULL OUTER), join key columns, output columns, and aggregation functions. Skionis generates and deploys the complete Gold Spark SQL job. Zero SQL written.
Pipelines run on cron schedules or triggered manually. Run History gives full visibility: status, duration, rows written at each layer, Databricks job run links. Slack and email alerts fire on job start, completion, failure, and cancellation.
Gold tables connect to Tableau, Power BI, Looker, Metabase, and Superset via Databricks SQL Warehouse. The Semantic Layer exposes governed metrics. Natural Language Query Interface lets analysts ask in plain English with SQL-backed answers — no SQL knowledge required.

Gold Table Builder — drag-and-drop JOIN canvas. Zero SQL authored by the engineer.

Data Model view — 7 entities · 80 fields · 90% avg confidence
Engage Muoro and our engineers bring Skionis to your project from day one.
Talk to Our TeamOur data engineering teams bring Skionis to every engagement. Production Databricks platforms delivered in a fraction of the time — with the precision and governance your data needs.
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