Skills
Azure Data FactoryAzure Databricks SQL ServerDescription
- Excellent knowledge of ADF building components –Integration Runtime, Linked Services, Data Sets, Pipelines, Activities
- Designed and developed data ingestion pipelines from on-premises to different layers into the ADLS using Azure Data Factory (ADF V2)
- Experience with integration of data from multiple data sources
- Knowledge on Data Extraction from On-Premises Sources and Delta Extraction methods from Source Systems to ADLS
- Extensively Worked on Copy Data activity
- Worked on Get Metadata Activity, lookup, Store Procedure, Foreach, IF and execute Pipeline activities
- Knowledge on Data Extraction from On-Premises Sources and Delta Extraction methods from Source Systems to ADLS
- Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of a single pipeline
- Manage data recovery for Azure Data Factory Pipelines
- POC using ADLCOPY to copy BLOB to ADLS and ADLS to ADLS
- Pipeline execution methods (Debub vs Triggers)
- Writing the SQL queries using Joins, Co-Related Queries, and Sub-Queries
- Monitor and manage Azure Data Factory
- Deployed the code with help of the CI/CD process.
- Using python for data transformation techniques
- Use filter () to return the rows that match a predicate,
- aggregations using agg () and count Distinct ()
- Compare the Data Frame and SQL query physical plans
- Extensively used ETL methodology for supporting Data Extraction, Transformation, and processing of data from sources like (Oracle, SQL Server, Teradata) using Azure Data Factory into Azure Data Lake Storage
- Experience with integration of data from multiple data sources
- Involved in production support activities
- Good team player with excellent communication and interpersonal skills
- Play a key role in the development team