Deepak Prasad

Engineered robust, scalable data solutions on the Snowflake platform to meet critical business requirements and enable faster insights. Architected and implemented high-throughput data pipelines to ingest and process JSON, CSV, and Excel data from diverse APIs.

Spearheaded migration of legacy Redshift data warehouse to Snowflake, ensuring zero-downtime transition, improved scalability, and enhanced security posture. Optimized SQL queries, data pipelines, and system configurations, significantly reducing latency and boosting overall performance.

Analyzed complex business requirements from multiple third-party sources to inform data strategy and solution design. Designed and developed robust ETL processes to extract, transform, and load diverse data formats into SQL-based data warehouses.

Partnered with business analysts to gather requirements and translate them into actionable data engineering solutions. Developed high-performance ETL processes using Informatica PowerCenter to extract, transform, and load data from Oracle sources into enterprise data warehouses.

Automated ETL pipelines for HRIS and flexible benefits data, improving processing speed and data accuracy. Architected scalable, multi-client ETL solutions to integrate and harmonize HRIS data across diverse sources.

Developed ETL solutions for CRM systems and telecom lifecycle management to support operational and analytical needs. Automated data transformation and reporting workflows using Informatica PowerCenter and PL/SQL, reducing manual effort and errors.

Bachelor of Engineering in Computer Engineering from Laxmi Devi Institute of Engineering & Technology, Rajasthan University, completed in September 2009.