MNR ANALYTICA THE AI AND DATA ENGINEERING CONSULTANCY
Sydney, Australia Based | AI and Data Engineering Consultancy

AI Accelerated Data Engineering driven by dbt, Databricks & Snowflake on Azure

Explore Capabilities & Architecture Explore Training & Courses

Core Enterprise Technology Stack

dbt
Databricks
Snowflake
Microsoft Azure
Claude Code
GitHub Copilot

Our Capabilities & Reference Projects

Enterprise Architecture Showcase

dbt Cloud DAG Execution & Semantic Engine

Enterprise Data Engineering (Azure / dbt Cloud / Databricks)

Continuous Stream Active
REST APIs / Kafka Event Hubs Streaming Parquet & CSV Files ADLS Gen2 Storage SQL Server & Oracle CDC Log Stream ADLS Gen2 Landing Blob • Auto Loader • Dynamic Ingest • Schema Drift BRONZE Raw Delta • Append-Only • Audit Trail Delta Format dbt Cloud SILVER (Conformed Models) dbt Cloud Jinja Macros & Incremental Databricks PySpark & SQL Execution GOLD (Data Marts) Dynamic dbt Cloud Star Schema DAGs Incremental Delta Lake Merges Databricks Unity Catalog dbt Lineage & Governance Sync ✨ AI-Accelerated dbt Development Claude Code & GitHub Copilot macro workflows Power BI Feature Store Analytics Serving Databricks SQL Warehouses

Primary dbt Cloud Execution Core

  • • Integrates Azure Databricks Delta Lake and Unity Catalog with version-controlled dbt Cloud transformation models.
  • • Leverages configurable dbt Cloud Jinja macros to drive incremental merges and automated schema evolution.
  • • Executes strict dbt data testing assertions directly within the cloud transformation pipeline.

AI-Assisted dbt Cloud Engineering

  • • Leverages agentic developer tools, including Claude Code and GitHub Copilot CLI, to synthesize complex dbt Jinja macros.
  • • Automates model documentation generation and populates dynamic dbt catalog metadata.
  • • Accelerates unit test assertion creation across high-density dbt model DAGs.

Key Project Outcomes

Accelerated Engineering Speed
Reusable dbt Cloud Jinja macros significantly reduce manual model authoring
Comprehensive Automated Governance
Configurable dbt Cloud testing assertions and Unity Catalog lineage
Professional Upskilling & Enterprise Training

dbt-Centric Data Engineering Masterclass Courses

Comprehensive, hands-on curricula covering the full spectrum of modern cloud data engineering. Heavy focus on dbt modeling, Jinja macros, CI/CD automation, and AI-assisted engineering with Claude Code and GitHub Copilot.

COURSE 01 12 Weeks • Live Cohort

Enterprise Data Engineering Masterclass
(with dbt & Azure Databricks)

An intensive 12-week end-to-end program covering dbt Core CLI, dbt Cloud IDE, Jinja macros, custom packages, incremental models, dbt Mesh, Databricks Delta Lake, Unity Catalog, SDP/DLT, CI/CD, and AI-assisted pair-programming.

12 Comprehensive Weekly Modules dbt Core + dbt Cloud

W1: dbt Project Anatomy, CLI vs Cloud IDE Setup
W2: Modular Data Modeling & Medallion DAGs
W3: Jinja Templating, Custom Macros & dbt Packages
W4: Advanced Incremental Materialization Strategies
W5: dbt Testing Assertions, Freshness & Docs
W6: dbt Mesh, Multi-Project & State Linting
W7: Slim CI/CD Pipelines in Azure DevOps
W8: Azure Databricks Compute & PySpark DataFrames
W9: Databricks Auto Loader & Ingestion Pipelines
W10: Delta Lake Internals, DLT (SDP) & Unity Catalog
W11: AI Coding (Claude Code & Copilot CLI)
W12: Mock Live Production Enterprise Capstone Project
COURSE 02 8 Weeks • Live Cohort

Modern Cloud Data Warehousing Masterclass
(with dbt Cloud & Snowflake on Azure)

An 8-week masterclass focused on dbt Cloud IDE, dbt Semantic Layer, dbt Cloud Scheduler, Slim CI with Snowflake Zero-Copy Cloning, Tableau BI integration, dbt Snapshots, and cost optimization.

8 Comprehensive Weekly Modules dbt Cloud

W1: dbt Cloud IDE Setup & Git Repository Linking
W2: Dimensional Modeling (Star Schema) in dbt Cloud
W3: dbt Semantic Layer & Metric Definitions for Tableau
W4: dbt Cloud Scheduler, Webhooks & Automated Slim CI
W5: dbt Snapshots (SCD Type 2) & Source Freshness
W6: Snowflake Virtual Warehouses & Snowpipe Ingestion
W7: Zero-Copy Cloning, Data Sharing & Cost Control
W8: Mock Live Production Enterprise Capstone Project

Modern Technology Ecosystem

Core Tooling & Platform Focus

Specializing in industry-standard cloud data platforms paired with cutting-edge AI software development tools.

dbt

dbt Core CLI, dbt Cloud IDE, Jinja macros, Semantic Layer, Mesh & Slim CI

Databricks & Delta Lake

Auto Loader, Unity Catalog, Spark SQL, PySpark & DBX Warehouses

Snowflake

Snowpipe, Virtual Warehouses, Zero-Copy Clones & Data Sharing

Claude Code

Agentic AI developer CLI for rapid dbt macro & PySpark generation

GitHub Copilot

AI pair-programming assistant for SQL models & automated unit testing

Microsoft Azure

ADLS Gen2, Azure Data Factory, Event Hubs & Azure DevOps

Legacy Systems

Informatica PowerCenter XML, Oracle PL/SQL & SQL Server

BI & Serving

Tableau, Power BI & dbt Semantic Metric API

Company Overview

Pioneering AI-Driven Data Engineering Excellence

MNR Analytica is a specialized AI Data Engineering consultancy based in Sydney, Australia. Combining modern cloud architectures (dbt, Databricks, Snowflake, Azure) with developer-first AI tools like Claude Code and GitHub Copilot CLI to accelerate enterprise data engineering.

Specialized focus on automated legacy refactoring, high-throughput Lakehouse implementation, and robust dbt-centric governance—delivering enterprise migrations faster, with lower risk and zero business disruption.

MNR ANALYTICA
THE AI AND DATA ENGINEERING CONSULTANCY

Core Engineering Pillars

  • Architectural Rigour & Scalability Designing modular, dbt-centric cloud architectures engineered to handle terabyte-scale enterprise workloads with optimal compute efficiency.
  • AI-Accelerated Delivery Velocity Leveraging agentic AI pair-programming tools to rapidly synthesize complex transformations, refactor legacy code, and write automated test suites.
  • Automated Quality & Continuous Governance Implementing automated source-to-target reconciliation and strict dbt data quality assertions at every layer of the pipeline.
  • Zero-Downtime Migration & Resilience Executing cutovers with guaranteed row-level parity protocols to ensure complete business continuity without service degradation.
Get in Touch

Schedule an Architecture Strategy Session

Connect directly with the principal cloud data consultant to evaluate your modern data architecture—covering dbt transformation workflows, Databricks Lakehouse design, Azure cloud infrastructure, or legacy warehouse migrations.

Direct Contacts
contact@mnranalytica.com.au mayank.tyagi@mnranalytica.com.au
Website
www.mnranalytica.com.au
Located at
Sydney, Australia