• Developed and deployed ETL workflows using Azure Databricks, ensuring efficient data extraction, trans-formation, and loading from diverse sources.• Implemented data cleansing, transformation, and aggregation processes for large datasets to ensure data quality and readiness for analytics.• Utilized Azure Data Lake, Azure Data Factory, and other Azure services to store, process, and manage struc-tured and unstructured data.• Assisted in performance tuning and optimizing Spark-based data processing in Azure Databricks to reduce runtime and increase efficiency.• Ensured compliance with data governance policies by maintaining data integrity, security, and accessibility across cloud platforms. • Actively monitored data pipelines for any issues or bottlenecks and troubleshoot errors to ensure timely and accurate data delivery.

• Developed solution to aggregate event-level data into session-level or user-level datasets to reduce data size, simplifying reporting and minimizing repeated processing in google GA4 Big-Query.• Led a team of 3 data analysts to automate data extraction, resulting in a 40% reduction in data processing time.• Implemented a data quality framework which reduced data inconsistencies by 30%, enhancing the accura-cy of business decisions.• Coordinated cross-functional teams to integrate data solutions, streamlining reporting processes and saving around 15 hours per week.• Designed and deployed interactive dashboards using Power Bi and Looker, improving stakeholder engage-ment and insights by 40%.• Reduced reporting time by 35% through the automation of complex data workflows using SQL and Python.• Developed custom reporting solutions, leading to a 15% improvement in data usability and accessibility for end-users.

• Drove internal digital operations, prepared and automated scheduled/ad-hoc reports using Python-Selenium reducing report-building time from 6 hours to 15 minutes.• Led data requirement discussions with the project stakeholders to serve the Client (Japanese Automobile Manufacturer), acting as a single point of contact between the Business and Technical verticals of the com-pany. • Provided insights/reports and marketing collateral/visuals using Google Analytics and Data Studio following the prescribed guidelines against the agreed timeline with 100% accuracy. • Built desired audiences based on data-driven strategies to get a high return on investment for running campaigns. • Proposed measures to target more accurately and had an eye on data loss to ensure the project meets the set standards. • Worked on solution architecture like maintenance, and troubleshooting data extraction from CDP utilizing Presto (SQL) and reporting on Power BI.

• Analyzed business requirements, solution design & implementation of the logistic business dashboard, including the production of management reports.• Creation and maintenance of dashboards to monitor data workflow and quality using Power BI. • Built strategy, maintained the budget, optimized expenses, and set goals for the growth of the company. • Structured policies and processes to evaluate and improve operations and financial performance.• Provided methodological and technical assistance to the decision makers for the Core System BI solution implementation.• Direct the employee assessment process and prepare regular reports to keep track of the budget. • Initiated solutions to issues (e.g., profit decline, employee conflicts, loss of business to competitors).

• Worked with operations & product team to analyze key data, and provide insights & recommendations in the field of logistics. • Worked on defining visual best practices (e.g., color themes, visualization layout, interactivity, drill-down capabilities, filtering). • Exploratory data analysis using Advanced Excel.• Check and prepare documentation to meet customs and insurance requirements, packing specifications, and comply with other countries' regulations.• Arranging insurance and assisting the client in the event of a claim.

• To look after the production of engine parts and assembly of Escorts FarmTrac tractors.• To manage production data and to look after the quality.• Made technical presentations to Escorts Senior Management outlining user requirements and consequential impact on technical specifications. • Data entry in MS Excel, data cleaning.