Bhaskar Reddy Karri

Skilled Azure Data Engineer with extensive experience in designing, developing, and executing data solutions using Microsoft Azure. Proven track record in leading teams to deliver innovative data management projects, enhancing data accessibility, and operational efficiency. Recognized for excellence in project delivery and adept at collaborating with cross-functional teams to meet and exceed client expectations.

• Data Ingestion and Processing: Managed daily uploads and integration of field sales data into the Azure environment, ensuring accurate and timely data processing across various systems.
• Azure Data Factory Pipelines: Developed and optimized Azure Data Factory pipelines to automate the extraction, transformation, and loading (ETL) of sales data from multiple sources into Azure Data Lake Storage (ADLS).
• Sales Reporting: Implemented data transformations and aggregations using Azure Databricks and Delta Lake to generate comprehensive sales reports, helping business teams make informed decisions.
• Data Validation: Conducted rigorous validation checks to ensure data consistency and accuracy, reducing errors in reporting by 15%.
• Collaboration with Stakeholders: Worked closely with sales teams and business analysts to ensure data met reporting and analysis requirements, leading to improved visibility into daily sales performance.
• Real-Time Insights: Automated Power BI reports to provide real-time insights into sales data, enhancing decision-making for field operations and strategy planning.

• Led the HYDRATE project, a comprehensive data migration initiative to modernize data infrastructure by migrating data from legacy SAP systems (including ATLAS, WRIGLEY, and MDG) to an Azure-based environment.
• Designed and implemented robust ETL pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB) to process and transform data from raw to output stages across multiple regions (AAP, AEP, APP).
• Automated workflows in ADF to manage data transfer between Blob Storage, Raw, and Output layers, based on regional schedules for efficient data processing.
• Implemented data transformation logic in ADB, including duplication checks, validation scripts, and null-condition handling to ensure data quality and integrity.
• Utilized Delta Lake for incremental data loading and implemented distinct processing strategies for full and delta data types to maintain data consistency.
• Conducted rigorous count checks between raw and output layers to ensure data accuracy, performed real-time monitoring via SQL Server, and managed logging to troubleshoot and resolve data inconsistencies.
• Collaborated with cross-functional teams (data architects, developers, business stakeholders) to align on pipeline designs and support ongoing maintenance.
• Documented configuration files, SQL scripts, and data models to provide comprehensive references for future enhancements and team knowledge sharing.

• AZ-900, Microsoft Azure Fundamentals
• DP-900, Microsoft Azure Data Fundamentals
• DP-203, Data Engineering on Microsoft Azure

• Pinnacle Award Winner: Recognized for individual excellence in project delivery, awarded the prestigious Pinnacle Award for outstanding contributions and performance.
• Client Appreciation: Received multiple client commendations for successfully delivering data solutions, exceeding expectations in both timelines and quality of deliverables.
• High Impact Projects: Led and contributed to high-priority projects that significantly improved data processing times and business outcomes, earning praise from cross-functional teams.