Priyanka Schwartz
Lead Azure Data Engineer/SQL Server Developer/Database Administrator/Business Intelligence/Power BI
- Role
- Lead Azure Data Engineer Sql Server Developer Database Administrator Business Intelligence Power Bi at Molathati Technology Solutions
- Location
- Tampa, FL, US
- LinkedIn followers
- 500 followers
About Priyanka Schwartz
Microsoft Certified Azure Data Engineer Associate with over 13 years of extensive…
Experience
Lead Azure Data Engineer Sql Server Developer Database Administrator Business Intelligence Power Bi
Molathati Technology Solutions
Mar 2023 — Present · US
Responsibilities:• Data Pipeline Architecture: Designed and implemented data pipelines and ETL/ELT processes within Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory.• Advanced Data Integration: Spearheaded the extraction, transformation, and loading of data from diverse source systems to Azure Data storage services using Azure Data Factory, Azure Synapse Analytics, and T-SQL. Developed complex pipelines across multiple Azure services including Azure Data Lake, Azure Storage, API, Salesforce and Azure SQL, ensuring robust data ingestion and integration.• Development and Automation: Crafted and maintained notebooks in Azure Databricks using Python and SparkSQL to perform data transformations and analysis, uncovering critical insights into customer behaviors from various file formats. Engineered JSON scripts for deploying pipelines in Azure Data Factory to automate data processing tasks.• Storage and Monitoring Solutions: Established and managed blob containers and Azure tables in ADLS Gen 2 for optimized data storage. Monitored automated pipelines, developed new triggers for pipeline automation, and created comprehensive monitoring solutions using Azure Logic Apps and Azure Monitor to enhance operational efficiency.• DevOps and CICD Project Execution: Engaged fully in the development lifecycle from requirements gathering to deployment, collaborating across product teams to address customer-facing challenges. Utilized Azure DevOps and CI/CD workflows for streamlined deployments and automatic releases for databases and pipelines, ensuring continuous integration and delivery.• Data Security and Compliance: Implemented data flow management techniques including copy data, lookup, and filter activities within data flows to refine data for presentation layers and reporting. Authored Kusto Query Language (KQL) queries for log analysis and reporting, facilitating proactive responses to system alerts and failures.
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