Aakriti Tripathi

Data Engineer with 6+ months of hands-on experience designing and implementing scalable ETL/ELT pipelines on cloud platforms. Demonstrated expertise in migrating enterprise Teradata workloads to Snowflake and Databricks, automating SQL conversion scripts to eliminate 70% of manual effort. Built production-ready data pipelines leveraging Delta Lake ACID transactions, improving refresh efficiency by 60% while ensuring data consistency and quality.

Skilled at translating complex data requirements into reliable, maintainable cloud solutions through strong communication and analytical rigor.

Trainee Software Engineer at Persistent Systems (2025-09 – 2026-01)

• Designed and executed migration of 200+ Teradata schemas to Snowflake, architecting ELT pipelines with dbt and Azure Data Factory to achieve near-complete automation coverage.

AWS Databricks Trainee at Revature (2025-07 – 2025-09)

• Architected databricks data warehouse for credit risk analytics, orchestrating ELT with Azure Data Factory and dbt to consolidate 12 source tables into a unified, analytics-ready schema.
• Optimized incremental load performance using Snowflake streams and tasks, reducing nightly refresh cycles by 45% while maintaining data consistency and ANSI SQL compliance standards.

Bachelor of Technology in Computer Science and Engineering – GLA University (2020-09 – 2024-06)