• Transforming E-commerce data into actionable insights by identifying key areas for improvements, such as audience, acquisition, behaviour, and conversions by analyzing and monitoring e-commerce metrics, figures and user-interaction data.• Researching competitors, alternative markets, and opportunities in the automotive e-commerce space and implementing strategies to enhance the business performance and assist our business development goals.• Recommend price strategies, for new and existing products, in alignment with company’s margin initiative by collaborating with other functional areas such as product management, marketing, sales, finance, purchasing to support pricing recommendations.

• Designed, developed, and deployed an ETL pipeline using SSIS, C# and SQL to automate the data update of seafarer information and service records to avoid hefty fines due to compliancerisks and directly reducing manual data entry workload in the Crewing Operations department.• Enhanced data-pipeline up-time while ingesting streaming and transactional data across 8 primarydata sources by identifying and fixing issues in the Data Warehouse Production environment.• Collaborated on design, strategy/planning, and execution of the migration of 100+ existing ETL packages from SSIS to Azure Stack (ADF, Databricks, Synapse Analytics) with no impact to business operations and potential savings.

• Ingested data from disparate sources like SQL Server, Flat Files, SFTP, Azure Data Lake and implemented a real-time data pipeline using SQL and PySpark DataFrames to process semi-structured data and create data views for generating actionable reports in Tableau, saving 20 hours of manual reporting work each week.• Directly provided savings of $200K per year by building a HR Analytics Dashboard, on Tableau, which gave them a view on key metrics and predictions they hadn’t had so easily previously. This allowed them to materially decrease customer surveys, interviews, and other manual workflows.• Functioned as an Analyst gathering ETL/BI requirements by interacting with clients and business users, analyzing source data for enterprise DW schemas, and developed Functional, Technical documents and Test cases for QA environments and other SDLC phases.