• Here, I served a dual role as an SQL developer for a Snowflake-powered data warehouse and as an L3 Engineer for daily data operations and BAU activities for the Aladdin Data Cloud team.• Executed comprehensive audits on over 30 weekly data deployments within the Aladdin Data Cloud team, establishing an error-free track record that enhanced overall system reliability as measured against industry benchmarks.• Create, run, support, and modify various automated workflows by developing Python scripts, reducing manual processes by 30% and decreasing data errors by 95%, significantly improving operational efficiency and data integrity that help business partners.• Collaborated with the operations team to monitor and oversee data ingestion processes, achieving a 99% success rate and a 25% decrease in validation time.• Conducted regular data validation checks and monitored system performance, identifying and resolving bottlenecks to maintain high efficiency and decrease downtime.• Monitored data systems performance, implementing necessary adjustments for optimal operation

• Developed a recommendation engine for an internal project using Python and its libraries.• Performed data extraction from various sources and pre-processed the data for analysis.• Leveraged the NLTK library for natural language processing tasks.• Applied machine learning algorithms using Scikit-learn to build and optimize the recommendation engine.• Conducted extensive testing and validation to ensure the accuracy and reliability of the recommendation engine•Collaborated with team members to integrate the recommendation engine into existing systems and kfl workflows.