Data pipeline processing banking transactions with data validation, transformation, and loading. Implements robust error handling and data quality checks.
Automated banking data processing pipeline with built-in data validation and transformation workflows.
RESTful API serving Pokemon data with endpoints for querying species, stats, and abilities. Built with modern Python web framework for efficient data retrieval and filtering.
Scalable API architecture enabling efficient Pokemon data queries with clean endpoint design.
Production-ready CI/CD pipeline automating AWS Glue job deployment using Azure DevOps with multi-environment support (DEV/PRD), smart change detection, and S3 Tables integration with Apache Iceberg.
Reduced manual deployment time from hours to minutes; zero-downtime deployments across environments.
A Python-based data pipeline that fetches data from multiple Invezgo API endpoints and loads them into Google BigQuery.
Automated data ingestion from Invezgo API to BigQuery, enabling real-time stock market analysis and visualization.
Scalable ETL pipeline for university attendance data processing with Docker containerization. Three-layer architecture (Staging → Warehouse → Mart) with automated weekly reporting.
Three-layer Medallion architecture with containerized deployment; automated weekly attendance reporting.
Data ingestion pipeline from local PostgreSQL to BigQuery using Python transformation and Cloud SQL. Processes banking fraud detection dataset through a clean data flow.
End-to-end data flow from local CSV through transformation to BigQuery data warehouse.
End-to-end automated ML pipeline for customer lifetime value prediction and segmentation using RFM analysis. Built with Medallion architecture on GCP, integrating data quality checks and interactive dashboards.
Automated customer segmentation reducing manual analysis time by 80%, enabling data-driven marketing strategies.
Comprehensive SQL analysis of an online movie rental platform exploring customer behavior, revenue patterns, actor popularity, and subscription trends.
Delivered insights on customer demographics, revenue patterns, and subscription behavior.