Tayjal Ajgaonkar

Data Engineer with experience in building scalable data pipelines and ETL/ELT workflows across Snowflake, Teradata, and cloud platforms. Skilled in SQL, data integration, and developing data solutions for analytics and business reporting.

Experience working with large-scale data systems, automation using Python, and ensuring data quality and reliability.

Data Engineer at Amdocs (2019-11 – 2025-11)

Data Engineer with responsibility for developing and maintaining scalable ETL/ELT data pipelines for enterprise-scale data migration and integration.

• Developed and maintained scalable ETL/ELT data pipelines for enterprise-scale data migration from Teradata to Snowflake
• Integrated data from multiple source systems into Snowflake using Azure Data Lake Storage (ADLS) as a staging layer
• Designed and executed data transformation logic using complex SQL queries to support business reporting and analytics
• Automated data validation and quality checks using Python (Pandas), reducing manual effort and improving accuracy
• Implemented data reconciliation processes to ensure consistency between source and target systems
• Optimized Snowflake query performance by analyzing query profiles, execution plans, and warehouse utilization
• Managed and monitored data workflows using TWS Scheduler and Infoworks, ensuring reliable pipeline execution
• Collaborated with cross-functional teams to gather requirements and deliver scalable data solutions
• Supported large-scale data processing and ensured high data reliability across distributed systems

PG Diploma in Advanced Computing in Advanced Computing – CDAC, ACTS PUNE (2019-02 – 2019-08)

Bachelor of Engineering in Engineering – Agnel Institute of Technology and Design (2014-07 – 2018-08)