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KEY EXPECTED ACHIEVEMENTS
Design, develop, and maintain scalable data pipelines and architectures using Azure Data Lake and Databricks.
Create and manage interactive dashboards and reports using Power BI.
Develop and maintain Python scripts for data processing and analysis.
Integrate various data sources and systems using APIs and Kafka.
Implement and manage ETL processes to ensure efficient data flow and transformation.
Work with data from ServiceNow and move it to the Data Lake using best practices and standards to provide the most efficient and robust solution.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality and integrity across all data platforms.
Troubleshoot and resolve data-related issues.
Advanced proficiency in Databricks and ETL processes.
Strong experience with Azure Data Lake.
Expertise in Power BI for data visualization.
Advanced Python programming skills.
Hands-on experience with API integration and Kafka.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Familiarity with the ServiceNow data model.
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