Ritik Sharma Email and Phone Number

1. Data Lineage Development: Developed a comprehensive Data Lineage system using advanced Python scripting and relational SQL Server Enterprise. This initiative significantly enhanced data traceability and management efficiency.2. ETL Operations Management: Managed ETL processes using Python to ensure streamlined data integration into SQL Server, resulting in improved data accessibility and reliability.3. Agile Kanban Team Collaboration: Actively participated in an Agile Kanban team, contributing significantly to data architecture and model design. This collaboration was key in modernizing data platforms and migrating data warehouses.4. Snowflake Data Migration: Contributed to the Data Migration to Snowflake, establishing robust data warehouses, databases, and schemas. Implemented RBAC policies to bolster data security.5. Streamlit Data Application Innovation: Pioneered a user-friendly Streamlit Data Application for efficient data management. Enabled real-time UI updates through an admin-driven interface, enhancing user experience.6. Agile Development Contribution: Engaged actively in Agile development cycles, providing consistent feedback and assuming full accountability for the application's development.7. Machine Learning Model Development with Azure Databricks and PySpark: Utilized Azure Databricks and PySpark to develop and deploy a sophisticated machine learning model, enhancing analytics and predictive capabilities in a scalable cloud environment.8. Collaboration in Data Solution Development: Partnered with the data science team to develop efficient data solutions, playing a pivotal role in supporting data-driven decision-making.

1. Maintained existing data pipelines for efficient data streaming and preprocessing, ensuring optimized data flow in collaboration with data developers.2. Demonstrated proficiency in Python scripting for data processing and Linux/Ubuntu shell scripting, enhancing data handling and pipeline efficiency.3. Excelled in implementing ETL frameworks and platforms, handling various data types for accurate and efficient data transformation, aligning with data quality and validation processes.4. Collaborated with the data ingestion team to manage end-to-end data ingestion and data transformation, resulting in improved dataflow processes.5. Streamlined design and development of data solutions, including debugging and technical documentation, in alignment with data management standards.

1. Conducted research and data analysis on a Brazilian e-commerce application data set to identify key trends and insights that could support strategic business objectives.2. Leveraged analytical skills and knowledge of mathematics to interpret the data and identify opportunities to improve performance and streamline processes.3. Utilized Tableau for self-serve analytics to create a custom dashboard based on business requirements, allowing for real-time insights and informed decision-making.