● Architected scalable data solutions on AWS using S3, EMR, Glue, Redshift, and Athena, achieving business objectives.● Led the development of Spark-based data pipelines, enhancing data processing efficiency.● Automated complex workflows with Apache Airflow, improving reliability and operational efficiency.● Provided strategic technical leadership, mentoring teams in Big Data and cloud computing.● Implemented and maintained data lake solutions for efficient storage, cataloging, and governance of raw and processed data.● Provided technical leadership, mentored team members, and stayed abreast of emerging technologies in Big Data and cloud computing.

● End-to-end application architecture delivery, business analysis, and system design.● Designing UI/UX for tool development.● Developing data model for archive strategy for relational and NoSQL database systems.● Monitoring health, usage, and overall compliance of the application. ● Driving creation of relevant and meaningful solution architectures, reusable assets, and other deliverables enabling overall business performance.

● Led end-to-end implementation of risk monitoring from a data analytics perspective.● Automated over 100 regulatory reports using Python.● Utilized Alteryx for data preparation, cleansing, and aggregation to create streamlinedworkflows.● Integrated Python scripts within Alteryx workflows to enhance data processingcapabilities.● Collaborated with stakeholders to design Alteryx workflows meeting businessrequirements.● Developed Tableau reports and dashboards for visualizing insights and trends in thedata.

● Data acquisition from internal/external data sources.● Created and maintained optimal data pipeline architecture.● Built infrastructure for optimal ETL of data from various sources.● Developed statistical models for anomaly detection in payment status.

● Returns forecasting and safety stock levels optimization.● Detailed demand forecasting at point of sale.● Performed exploratory data analysis and designed data profiles.