Modern Data Solutions on Azure and Databricks

Cloud Data Architectures
Databricks Solutions
Advanced Data Engineering

Cloud Data Architectures
Databricks Solutions
Advanced Data Engineering

About me.

With 15 years of experience in the data industry, I have honed my expertise in leveraging the Microsoft tech stack and Databricks to deliver impactful data solutions that empower businesses with a distinct competitive edge.

Throughout my professional journey, I have been fortunate to collaborate with renowned organizations such as

Medallion Architecture.

I provide customizable and scalable data engineering solutions, meticulously tailored to fulfill the unique requirements of every client.

Main components of the offered architecture

Data Sources

I provide comprehensive support for multiple platforms, enabling seamless integration with diverse data sources. My expertise includes extracting data from APIs, on-premises databases, and cloud platforms. This allows businesses to consolidate their data effectively and efficiently, ensuring a strong foundation for advanced analytics.
Ingestion (Bronze Layer)

At the Bronze layer, raw data is ingested using robust pipelines built with Azure Databricks and Azure Data Factory. This includes data collection from various APIs, event hubs, and file systems. The raw data is stored as-is to preserve its original state, enabling audits and future reprocessing if necessary.
Transformation (Silver Layer)

The Silver layer processes the raw data, transforming it into a more structured and organized format. Using Databricks notebooks and Spark-based processing, I clean, filter, and enrich the data to prepare it for advanced analytics. This layer removes duplicate records and ensures consistency, creating a reliable dataset for further use.
Aggregation and Insights (Gold Layer)

At the Gold layer, I aggregate and summarize the processed data to deliver actionable insights. This layer is optimized for analytics and reporting, providing business-ready datasets for decision-making. Advanced Databricks workflows and SQL queries enable the creation of meaningful metrics, KPIs, and dashboards.