Developed data processing pipelines with Python, Pandas, and NumPy for real-time data ingestion and transformation. Improved data query performance by 40% through optimized data architecture and indexing strategies. Created ETL processes to ingest, clean, and transform data, ensuring data quality and consistency.

Developed data processing pipelines with Python, Pandas, and NumPy for real-time data ingestion and transformation. Improved data query performance by 40% through optimized data architecture and indexing strategies.

Managed and optimized SQL and NoSQL databases. Utilized R for statistical analysis and data visualization. Salesforce administration, configuration, and customization. Managed data using Excel, Tableau, and Power BI.

Managed and optimized SQL and NoSQL databases. Utilized R for statistical analysis and data visualization. Salesforce administration and configuration.

Performed advanced SQL queries and optimized database performance. Automated routine database tasks using scripts. Utilized AWS services such as EC2, S3, RDS, and Glue for efficient data storage and processing. API's integration with Phyton, SQL, and MySQL.

Performed advanced SQL queries and optimized database performance. Automated routine database tasks using scripts. Utilized AWS services for efficient data storage and processing.