Siddhi Sharma Email and Phone Number

-Engineered and optimized AWS Glue jobs for seamless ETL of data, ensuring efficient extraction, transformation, and loading processes.-Utilized PySpark to systematically clean and transform JSON datasets, addressing missing values, column renaming, duplicates, and data structuring for in-depth analysis.-Provided robust support for Glue jobs, promptly resolving technical issues to maintain uninterrupted data pipelines.-Proficiently formulated and executed SQL queries on Snowflake, enhancing data management and analysis capabilities, with a focus on troubleshooting and ensuring data accuracy for critical operations.

-Proficient in processing and cleaning raw data from TMDB API with Python.-Experienced in deploying Python-scripted Lambda functions on AWS using Terraform for streamlined data handling.-Skilled in advanced data cleaning, transformation, and extraction, enabling meaningful insights, and efficient data filtering and aggregation for analytics.

Created movie recommendation system using Netflix's dataset to offer personalized movie suggestions by leveragingCollaborative Filtering with matrix optimization Enhanced recommendations using Machine Learning algorithms, considering user preferences and popular movie trends Built interactive dashboards using Tableau Handled large and sparse data to provide data-driven solutions