Felipe lopes

Design, build, and maintain scalable ETL/ELT data pipelines using Databricks, PySpark, Spark SQL, Microsoft Azure, Snowflake, and Apache Airflow. Develop data ingestion, transformation, and processing solutions to support complex financial business rules and analytical requirements.

Built and maintained batch and real-time data pipelines using Databricks, Azure Synapse, Azure Event Hub, StreamSets, Snowflake, PySpark, and SQL. Implemented real-time and batch processing solutions to support analytical platforms, business dashboards, and data-driven decision-making.

Developed ETL/ELT pipelines using WhereScape, Snowflake, BigQuery, Databricks, PySpark, SQL, and Azure Data Factory to support data warehouse and analytics solutions. Designed and maintained dimensional data models, including fact and dimension tables, to support reporting, KPIs, and business intelligence dashboards.

Ingested, processed, and organized data into Azure Data Lake Storage to support analytics and reporting solutions. Developed PySpark scripts for data transformation, cleansing, standardization, and preparation of analytical datasets.

Processed and transformed large datasets using PySpark, Hive, Hadoop, and HDFS. Ingested Kafka logs into HDFS to support large-scale data storage and analytical processing.

Designed and supported Big Data architectures for data ingestion, transformation, and analytical processing. Developed ETL flows extracting and transforming data from SAP using SSIS.

Led the data intelligence function for the procurement department, supporting strategic analytics and decision-making. Developed dashboards, KPIs, and analytical reports using QlikView to monitor procurement performance.

Planned and delivered data integration and business intelligence projects for different business areas. Developed dashboards and analytical applications using QlikView and Qlik Sense.

Developed and maintained enterprise ETL processes using SSIS. Built and supported dashboards using QlikView and Qlik Sense for business analysis and reporting.

Configured and maintained database environments to support proprietary systems and business applications. Designed and optimized data models, Oracle queries, and SQL scripts for application and reporting needs.

Developed and maintained ETL processes using SSIS and IBM DataStage. Created dashboards and analytical reports using QlikView.

Gathered and documented business requirements for system improvements and operational processes. Worked with business users to understand needs, define requirements, and support solution design.

Developed and maintained OLAP cubes to support analytical reporting and business decision-making. Built and supported ETL processes for data warehouse and reporting environments.

Pursued a Master of Business Administration with a focus on Big Data and Data Science.

Completed a Bachelor's Degree in Systems Analysis and Development.