10/24/2025 updated
100 % available
Azure Data Engineer & Power BI Developer with 5+ years experience
markapur, India
Only remote
Bachelor of Engineering & TechnologyArchitectureMicrosoft AzureBroadcastingCloud ComputingContinuous IntegrationInformation EngineeringData IntegrationExtract Transform Load (ETL)Data TransformationData VisualizationData WarehousingDesign Elements and PrinciplesDevOpsPython (Programming Language)Microsoft SQL Servers
Azure Data Factory & Cloud Solutions
Expert knowledge in designing and implementing data pipelines using Azure Data Factory (ADF), with experience in Medallion Architecture (Bronze, Silver, Gold layers) and cloud-based solutions.
Power BI Development
Advanced skills in creating interactive dashboards, reports, and data visualizations using Power BI, DAX, M-Query, and integration with various data sources.
Data Engineering & ETL
Specialized in building and optimizing ETL workflows using Python, PySpark, SQL, and Azure Databricks for data transformation, cleansing, and business aggregations.
Data Warehousing
Experience with SQL Server, Azure SQL, Snowflake, and Star Schema design principles for efficient data storage and retrieval.
Data Integration
Knowledge of Copy Activity, Lookup, ForEach, and metadata-driven pipelines for integrating data from multiple sources.
Monitoring & DevOps
Skills in Azure Monitor, ADF Alerts, Azure DevOps, and Git for ensuring high availability and continuous integration.
Performance Optimization
Expertise in optimizing SparkSQL and PySpark queries, implementing partitioning, caching, and broadcast joins to reduce execution time.
Expert knowledge in designing and implementing data pipelines using Azure Data Factory (ADF), with experience in Medallion Architecture (Bronze, Silver, Gold layers) and cloud-based solutions.
Power BI Development
Advanced skills in creating interactive dashboards, reports, and data visualizations using Power BI, DAX, M-Query, and integration with various data sources.
Data Engineering & ETL
Specialized in building and optimizing ETL workflows using Python, PySpark, SQL, and Azure Databricks for data transformation, cleansing, and business aggregations.
Data Warehousing
Experience with SQL Server, Azure SQL, Snowflake, and Star Schema design principles for efficient data storage and retrieval.
Data Integration
Knowledge of Copy Activity, Lookup, ForEach, and metadata-driven pipelines for integrating data from multiple sources.
Monitoring & DevOps
Skills in Azure Monitor, ADF Alerts, Azure DevOps, and Git for ensuring high availability and continuous integration.
Performance Optimization
Expertise in optimizing SparkSQL and PySpark queries, implementing partitioning, caching, and broadcast joins to reduce execution time.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishFluent
Project history
Designed metadata-driven ADF pipelines for data ingestion, implemented Medallion Architecture, optimized PySpark transformations, and delivered Power BI datasets for business KPIs, achieving 35% reduction in processing time and 30% improvement in pipeline runtime.
Developed end-to-end ADF pipelines for logistics data, built ETL workflows for KPIs like On-Time Delivery and Freight Spend, created Azure Databricks Notebooks for data transformations, and optimized Spark jobs resulting in 40% execution time reduction.
Implemented ETL pipelines in ADF, developed PySpark transformations for retail data, built medallion architecture layers, and integrated with Power BI dashboards, improving data quality and reducing manual reporting efforts by 60%.
Certificates
MS Power BI Data Analyst PL-300
Microsoft2025
MS Fabric Data Engineer Associate DP-700
Microsoft2025