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Consolidated 9 curated sources including on-prem databases, REST APIs, CRM systems, and document stores, into one governed Databricks Lakehouse, eliminating siloed analytics.
Bronze-to-Silver workflows are orchestrated automatically via a centralized config table, removing manual intervention and reducing schema-mismatch errors.
Net revenue, flight share, market flights, and promoter scores, computed from curated Silver data and surfaced directly in Dynamics 365 CRM for operational decisions.
The client, a large Fortune-500 aviation enterprise, operated an analytics environment built on Azure Databricks and Azure Data Factory. While the foundational technology stack was robust, the overall environment lacked governance, security, and architectural maturity to support enterprise-scale analytics. Four core pain points emerged:
Development and production workloads shared a single Unity Catalog workspace with no proper segregation. Insufficient environmental isolation meant any developer could inadvertently affect live data, and role-based access controls were absent entirely.
Development and production shared the same cluster infrastructure, increasing resource contention and uncontrolled release management. No CI/CD pipeline existed to promote notebooks and workflows safely across environments.
With no medallion architecture in place, raw data was dumped directly into a Bronze layer and used as-is. There was no traceability between tables, no schema documentation, and no incremental data history — only point-in-time snapshots truncated and reloaded on every refresh
KPIs and reporting views were built directly on raw Bronze data from 40+ heterogeneous sources with mismatched data types and no cleansing — leading to unreliable outputs and an inability to scale analytics.
Inferenz modernized and scaled the client’s analytics platform end-to-end, delivering a governed, multi-environment Databricks Lakehouse with automated data pipelines, enterprise-grade security, and business-ready KPI outputs connected to their CRM system.
Secure Multi-Environment Workspace
Designed a four-environment architecture (Dev, Test, UAT, Prod) on separate Azure VNets using Microsoft’s Cloud Adoption Framework. All environments are fully isolated with governed Bronze and Silver data layers, with role-based access controls enforced via Unity Catalog and Databricks Asset Bundles (DABs).
Metadata-Driven Pipeline Framework
Built a scalable, config-table-driven framework to standardize pipeline orchestration. 20+ automated Bronze-to-Silver workflows execute scheduled data cleansing across six rule-based cleansing groups, eliminating manual data handling and accelerating onboarding without code changes.
Unity Catalog Governance & Compliance
Established robust data governance using Unity Catalog: data ownership, full lineage tracking across external tables in ADLS Gen2, and centrally managed RBAC. External table strategy ensures data persists independently of catalog operations, providing a reliable backup in ADLS storage.
ETL, Data Quality & 16 KPI Delivery
Orchestrated end-to-end ingestion via ADF from 9 curated sources into Bronze. Applied rule-based validations and automated Silver-layer cleansing for 100% client-approved data quality. Delivered 16 KPIs: net revenue, market flight share, promoter scores, computed on Silver data to power Dynamics 365 CRM.
CI/CD & DevOps with DABs & GitHub Actions
Implemented a full CI/CD pipeline using GitHub Actions with self-hosted runners and Databricks Asset Bundles for deterministic promotion of notebooks, workflow jobs, clusters, and RBAC configurations across environments. Git integration is scoped exclusively to Development to maintain production integrity.
Network Security & Infrastructure as Code
All infrastructure provisioned via Terraform. Databricks workspaces accessible only within a private VNet via VPN. All ingress/egress filtered through Azure Firewall and App Gateway. Private endpoints configured for workspaces and storage accounts. User-Assigned Managed Identities enforce least-privilege access — zero dependency on individual user credentials.
Private-network-only workspace access with catalog-level access control and least-privilege UAMI enforcement across all environments.
Automated Bronze → Silver workflows via metadata-driven pipelines eliminated manual intervention and reduced schema-error risk.
KPI queries now run on curated Silver tables — reducing latency and surfacing trusted metrics directly in Dynamics 365 CRM.
Schema validation, cleansing rules, and Unity Catalog lineage ensure end-to-end auditability and consistent data quality across all layers.
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