Tony A.

Senior Data Developer @Arthrex Tampa

Built complex views and utilized AWS RDS Oracle databases for ETL processes, creating efficient data sources. ⋅ Leveraged AWS Athena to validate data post-ETL, ensuring accuracy and consistency in reporting layers. ⋅ Developed AWS Redshift views for Tableau reports, creating robust data sources for visual analytics. ⋅⋅ Employed Azure resources such as SQL Database, Cosmos DB, Event Hubs, ADLS, Kusto SQL, Logic Apps, and Function Apps to handle complex data operations. ⋅ Provided production support through Azure DevOps, managing incident tickets and resolving issues in ADF, Databricks, SQL Server, and Power BI. ⋅ Tuned performance in Azure Synapse SQL and Spark pools, enhancing the efficiency of data processing. ⋅ Utilized Databricks with PySpark and Python libraries (Pandas, NumPy, Matplotlib, and Requests) for data engineering and data science tasks. ⋅ Built ETL pipelines in ADF and Databricks for data lakes using Medallion architecture, transforming raw data for Power BI reporting. ⋅ Created generic pipelines, integrated control tables, and managed parallel processing in ADF using Logic Apps and Function Apps. ⋅ Built Power BI dashboards with M Query, DAX functions, and custom visuals to support business intelligence needs. ⋅ Built and maintained diverse databases and integrated them into Data Lake. Created ADF ETL and ELT pipelines and Azure Databricks notebooks with Python, SQL, PYSPARK for data movement and designed the Medallion architecture (Bronze, Silver, and Gold Layers) to meet business needs. ⋅ Worked as a Data-driven professional with expertise in Business Intelligence, Data ingestion, Cleansing, and utilization, along with experience in project management and leading teams, and an eagerness to pursue a career in Data Science and Machine Learning.