Data analyst/junior data engineer
Summary
Utilized Databricks notebooks to perform complex data transformations.Integrated Azure
Databricks with Azure Data Factory for automated data pipeline orchestration, reducing
manual intervention by 50%.Monitored and optimized query performance using Databricks
SQL Analytics, reducing query execution times by 40%.
Developed ETL pipelines using Azure Data Factory (ADF) to ingest data from cloud sources
into Databricks. Implemented data transformation using Medallion architecture in
Databricks to prepare the data for analytical purposes. Leveraged Unity catalog for unified
data governance, improving data management and accessibility.
Integrated Fivetran for data ingestion, ensuring a reliable and automated process for data
updates.
Designed and developed interactive Power BI dashboards that provide real-time insights
into sales performance, enabling the sales team to make data-driven decisions. These
dashboards included slicers, drill-through actions, and custom visuals for enhanced user
experience. Developed and implemented DAX calculations to calculate key performance
indicators (KPIs) and solve complex business problems.
Successfully completed various POCs demonstrating the effectiveness of ETL pipelines
and data processing techniques, Unity catalog for data governance and security, and
Fivetran for data movement from source to destination.
Expectations
I'm an entry-level Data Engineer with a strong foundation in working with data. With hands-on
experience in building data pipelines and performing ETL processes. I'm skilled in handling Azure
services like Azure Data Factory(ADF), Databricks, Azure SQL database for data processing, and
databases. I'm a quick learner and eager to contribute to data-driven projects in a collaborative
environment. I would like to join an organization where i can utilize my skills and also grow myself with the company
Employment Preferences
Expected Base Salary
**0,000 INR
Academic Degree
Experience
Total Professional Experience
Skills
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