12/09/2024 updated
100 % available
Azure Data Engineer with Expertise in Data Warehousing and Analytics
Gois, Portugal
Worldwide
MS in Data Science and Advanced AnalyticsAzure Data Engineering
Extensive experience with Azure data services including Azure Data Factory, Azure Synapse, and Azure Databricks for building efficient ETL pipelines and data warehouses.
Data Warehousing
Proficient in designing and implementing data warehouses using various technologies such as Azure Synapse and Snowflake, with a focus on data quality and reliability.
ETL Development
Skilled in cloud-based ETL development, optimizing pipelines for data quality and reliability, and integrating data from multiple sources.
Machine Learning & Deep Learning
Knowledge in implementing machine learning models, including wind speed estimation using Azure Data Factory.
Data Science & Analytics
Proficiency in data analysis using SQL, Python, and Power BI for creating impactful dashboards and deriving actionable insights.
Big Data Technologies
Experience with big data technologies including Spark, Kafka, and Azure Data Storage for handling large-scale data processing.
Business Intelligence
Capability to translate data into business insights, improving products, processes, and business outcomes.
Extensive experience with Azure data services including Azure Data Factory, Azure Synapse, and Azure Databricks for building efficient ETL pipelines and data warehouses.
Data Warehousing
Proficient in designing and implementing data warehouses using various technologies such as Azure Synapse and Snowflake, with a focus on data quality and reliability.
ETL Development
Skilled in cloud-based ETL development, optimizing pipelines for data quality and reliability, and integrating data from multiple sources.
Machine Learning & Deep Learning
Knowledge in implementing machine learning models, including wind speed estimation using Azure Data Factory.
Data Science & Analytics
Proficiency in data analysis using SQL, Python, and Power BI for creating impactful dashboards and deriving actionable insights.
Big Data Technologies
Experience with big data technologies including Spark, Kafka, and Azure Data Storage for handling large-scale data processing.
Business Intelligence
Capability to translate data into business insights, improving products, processes, and business outcomes.
Languages
EnglishFluentPortugueseNative speaker
Project history
Developing systems to ingest and process data using Azure Data Factory and Snowflake. Implementing data cleaning and validation processes in Databricks with Delta tables. Designing data warehouses using Azure Synapse.
Managed a team for on-premise data warehouse development using Python and SQL Server. Designed ETL pipelines and developed data models for streamlined processing and improved usability.
Delivered ETL/ELT projects, implemented OCR technology, and worked on various data science initiatives including machine learning models and Azure Cognitive Services applications.