Workflow Conversion: Convert Alteryx workflows into BigQuery, ensuring data integrity and optimizing performance.Data Modeling: Design and implement data tables and structures for efficient analysis in BigQueryAutomation: Utilize Python to automate repetitive tasks, enhancing efficiency and accuracy in data processing.Data Pipeline Development: Create and maintain data pipelines using Terraform and GitHub, ensuring version control and infrastructure as code practices.Data Analysis: Conduct data analysis to derive insights and support decision-making processes within the organization.Collaboration: Work closely with cross-functional teams to understand data needs and deliver actionable solutions.Documentation: Maintain comprehensive documentation of data workflows, processes, and methodologies.Quality Assurance: Implement data validation and quality assurance practices to ensure high-quality data outputs.Performance Monitoring: Monitor and optimize data pipeline performance and troubleshoot any issues that arise.Continuous Improvement: Stay updated on industry trends and best practices, suggesting improvements to existing processes and tools.

Designed and developed scalable data pipelines using Python and SQL to support data analysis and reporting needs.Worked with stakeholders to understand business requirements and translate them into data models and visualizations.Utilized BigQuery to perform complex data queries and optimize performance for large datasetsCollaborated with cross-functional teams to enhance data quality, integrity, and availability.Createed and maintained interactive dashboards and reports using BI tools to facilitate data-driven decision-making.Identify trends and patterns in complex datasets and communicate findings to stakeholders.Implemented data governance practices and ensure compliance with data policies.Mentored junior team members and provide guidance on best practices in data engineering and BI.

Led Netmeds BI team and managing end to end BI projects.Plan, coordinate, and supervise all activities related to the design, development, and implementation of organizational reporting and analytics.Implemented and maintainied EDW as per business requirements andassisting various departments to manage all activities and ensure adherence to EDW database.Prepared design for all metadata according to various ETL/ELT processes.Performed troubleshoot on all ETL/ELT processes and resolve issues effectively.Prepared designs for database systems and recommend improvements for performance.Analyze all data from sources and develop logical and physical models.Maintaining and developing various database scripts and tools to facilitate automation process.Evaluate all proposals requests and assist to improve structure of data warehouse.Monitor all data integrity performance and Coordinate with analytical team and collect all technical requirements.Database Management and Workflow Optimization using ETL,Python & SQL streamlining projects end to endAutomated and streamlined feature extraction for machinelearning projectsData Extraction and Standardization by performing qualitychecks to encourage data-driven decisionsPrepared dashboards/Storyboards to analyze business usingPython/Tableau

Utilized Yellowfin and Python to track and analyze the dataOptimized data collection procedures and generated reports ona weekly, monthly, and quarterly basis

Successfully interpreted data in order to draw conclusions formanagerial action and strategy by Qlik sense and ZeppelinAutomated and streamlined 2 major pilot projects in turnsaving lot of hours

Implemented robust SQL queries and data models in Qlikview, Which enabled the development of reports that decreased client data processing times by 20%Built automated reports using MS excel and power query in order to reduce the manual intervention and human errorsProduced a series of reports for claim management teams which contributed to a 5% of reduction in claims processing time through multiple KPIs and metrics