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Luciano Nascimento

@lucianonascimento

Senior Data Engineer specializing in Azure-based data platforms, dimensional modeling, and large-scale PySpark transformations.

Brazil

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What I'm looking for

I’m looking to build and scale enterprise data platforms on Azure (ADF, Databricks, Synapse), partnering with stakeholders to turn requirements into reliable dimensional models and high-quality pipelines—while driving measurable improvements in data quality and analytics readiness.

I’m a Senior Data Engineer with 12+ years of experience architecting and implementing enterprise-scale data solutions. I focus on modern data platforms built on the Azure ecosystem—ADF, Databricks, and Synapse—paired with data stack tools like Snowflake and DBT. I’ve delivered platforms for Fortune 500 companies including Intel and Toyota, managing large datasets with global teams.

In my recent work, I spearheaded migrations from on-premises Microsoft SQL environments to modern Azure Data Lake architectures, delivering centralized platforms that serve 6 business units. I designed dimensional models (Kimball, star schema, and Data Vault 2.0 concepts), architected medallion layers (Bronze/Silver/Gold) using DBT, and used ADF to orchestrate ingestion and data quality. I also implemented semantic layers in Snowflake powering SSAS and Power BI, and built Python/Pandas validation frameworks that reduced data quality issues by 70% through automated testing and monitoring.

I bring strong client engagement and requirements gathering experience, translating business needs into technical solution designs through workshops and technical presentations. I’m certified in Microsoft Azure Data Engineer Associate (DP-203) and Databricks Certified Data Engineer Associate, and I enjoy building reliable pipelines with PySpark, SQL, and Azure DevOps-style delivery practices.

Experience

Work history, roles, and key accomplishments

Data Engineer

Muvz Tech

Jul 2022 - Dec 2025 (3 years 5 months)

Spearheaded migration from on-prem Microsoft SQL to an Azure Data Lake architecture, delivering a centralized data platform serving 6 business units. Built Snowflake semantic layers and DBT-driven medallion (Bronze/Silver/Gold) transformations orchestrated by ADF, and reduced data quality issues by 70% using automated PySpark/Python validation frameworks.

Azure Data Factory Data Lake Databricks Snowflake DBT Pyspark Delta Lake SSAS Power BI

Data Engineer

Upbi

Sep 2021 - Jul 2022 (10 months)

Designed star and snowflake dimensional models to support BI across insurance, retail, and beauty, defining KPIs through stakeholder requirements gathering. Built Azure Data Factory and Databricks (PySpark) ETL for ingestion from REST APIs, files, and relational databases, and created SSAS Tabular models serving 50+ Power BI dashboards.

Azure Data Factory Databricks Pyspark Pandas Dimensional Models SSAS Tabular Models DAX Power BI

Data Engineer

Dadoteca

Nov 2020 - Sep 2021 (10 months)

Designed dimensional data models for client data warehouses and delivered PySpark ETL workflows in Databricks for large-scale processing. Built reusable Pandas-based Python libraries that reduced development time by 30% and implemented SSAS multidimensional cubes for executive dashboards.

Databricks Pyspark Pandas Dimensional Models SSAS Multidimensional Data Warehousing ETL Python SQL Server

Data Engineer

Atlanteam

Mar 2020 - Nov 2020 (8 months)

Architected Google BigQuery data warehouse models using partitioning and clustering to optimize performance and reduced report generation time by 45%. Implemented ETL with Google DataFlow (Apache Beam) and Python to ingest from Cloud Storage into BigQuery.

Google BigQuery Partitioning Clustering Dataflow Apache Beam Python Cloud Storage BI Reporting

BI Consultant

Amaris

Apr 2019 - Mar 2020 (11 months)

Partnered with Intel Legal stakeholders to define data migration strategies and reporting needs, then migrated critical legal data systems to Azure. Implemented enterprise dimensional models with SCD Type 2 for historical tracking and established data governance aligned with retention and security policies.

Azure Dimensional Models Data Governance Data Warehousing SQL Data Migration Stakeholder Management

Data Engineer

Blueshift

Sep 2017 - Apr 2019 (1 year 7 months)

Built BI solutions using Azure Data Factory, Analysis Services, and Power BI to deliver custom dashboards and KPI reports. Implemented T-SQL stored procedures, triggers, and complex queries to support transformation and reporting.

Azure Data Factory SSAS Power BI T SQL Stored Procedures Triggers KPIs Dashboards

ETL Developer

GovernançaBrasil (GovBR)

Nov 2016 - Sep 2017 (10 months)

Designed and implemented data models and database routines to automate data loading, improving data quality and consistency for multi-source ingestion. Developed Power BI dashboards and automated reports, including internal monitoring for license usage and expirations, using advanced T-SQL queries and routines for transformation performance.

Power BI T SQL Stored Procedures Triggers Data Quality Data Modeling Dashboards

ETL Developer

Decision Group Consultants

Jan 2016 - Nov 2016 (10 months)

Developed and maintained Informatica PowerCenter ETL workflows for an enterprise data warehouse for IBM/OI. Created multidimensional data models and implemented Shell Script automation for batch ETL jobs, using Teradata and Oracle for data extraction and transformation routines.

Informatica Teradata Oracle Shell Scripting ETL Batch Data Extraction SQL