• Led data ingestion from GCP into Snowflake, utilizing DBT for transformation and creating dimensional models (Kimball and Inmon), resulting in a 20% improvement in decision-making efficiency• Built scalable data pipelines using Python, DBT, PySpark, and AWS Glue, cutting ETL time by 25%, automating ingestion, transformation, and loading, and improving data integrity across 1M+ records, leading to efficiency boost • Developed and implemented advanced dimensional modeling techniques, including late-arriving dimensions and slowly changing dimensions (SCD), which maintained data accuracy for over 1 million records in the Snowflake environment• Optimized SQL queries, reducing data processing times by 20%, and revamped ETL workflows using Spark and AWS Lambda, increasing data throughput by 25%• Conducted data quality assessments and statistical analysis, validating business hypotheses and resolving 95% of anomalies, maintaining high data integrity across systems• Collaborated with sales and business teams to design real-time KPI dashboards, resulting in 13% increase in decision-making efficiency that tracked sales performance in real-time using Looker and Tableau, leading to more effective strategic decisions• Led a cross-functional team (9+ engineers) to launch a sales analytics dashboard, leveraging advanced ETL and data visualization, while fostering collaboration to drive actionable insights and improve decision-making

Developed an Android application for effective and efficient Spanish learningRevamped the application with end-to-end functionality and a rich user experience Collaborated with the application testers to debug the bugs and fixed themAmplified application by demonstrating client-side requirements through the systematic use of Android Studio, Firebase, and XML

• Developed analytics pipelines using AWS Glue, Lambda, and DynamoDB, automating 38 workflows and boosting efficiency by 15%• Refined targeting accuracy by 20% by revamping pipelines with MS SQL and Plotly• Streamlined CI/CD workflows on Linux, automating 8 deployments and cutting deployment time by 30%, supporting data transformation through collaboration with cross-functional teams