Each project built to solve actual data processing problems.
4
Live Projects
3
In Progress
10+
Tools Used
Automated pipeline triggered by S3 events. Orchestrates validation, transformation, and loading with proper error handling, retry logic, and comprehensive monitoring.
Real-time analytics engine generating mock e-commerce data, processing through Kafka and Spark, storing in S3, and visualizing with interactive dashboards. Full event streaming pipeline with schema registry.
Complete ETL workflow with Airflow DAGs orchestrating Databricks jobs, dbt models for transformations, and automated data quality checks. Modern data stack implementation.
Automated data warehouse setup with dbt models, tests, and documentation. Airflow manages transformation schedules and dependencies with comprehensive monitoring.
Cryptocurrency data ingestion and processing pipeline using AWS Step Functions.
Change Data Capture pipeline with DMS and Lambda on AWS.
Scalable batch processing pipeline using Databricks and Airflow.