Pratyush Abhinandan

Microsoft Certified Azure Data Engineer with 3 years of experience in designing, developing, and optimizing scalable data pipelines, ETL/ELT workflows, and Customer Data Platforms (CDP). Experienced in Treasure Data CDP, SQL, Python, Azure, Oracle, and Power BI. Proven expertise in workflow automation, data integration, data quality management, performance optimization, and delivering business-driven data solutions.

Data Engineer - Wipro Technologies - Gurgaon, India

(2022-02 - 2024-08)

Client: Diageo Project: Customer Data Platform (CDP) Global Rollout Regions Supported: UK, Germany, and North America

• Delivered end-to-end Customer Data Platform implementations for UK, Germany, and North America by developing region-specific ETL/ELT pipelines using SQL, Python, and Treasure Data CDP.
• Migrated and validated 10M+ customer records from multiple source systems into Treasure Data CDP while ensuring high data quality and consistency.
• Built region-specific ingestion, transformation, and Customer 360 pipelines based on market-specific business rules and source system mappings.
• Reduced manual operational effort by 40% through workflow automation using Digdag.
• Improved ETL pipeline performance by approximately 30% through SQL query optimization and transformation redesign.
• Developed customized transformation logic and validation rules for different regional deployments.
• Engineered Customer 360 data models using Identity Resolution, Unification, and Master Segments.
• Developed and maintained Digdag workflow orchestration for automated ingestion and processing.
• Monitored production pipelines, resolved data quality issues, and supported regional go-live activities across UK, Germany, and North America.
• Collaborated with global business stakeholders and cross-functional teams to deliver scalable data solutions.

Bachelor of Technology - Electronics & Communication Engineering - IES College of Technology, Bhopal (2021)