Transform raw data into actionable insights with scalable pipelines, ensuring high data quality, consistency, and accessibility for analytics and machine learning.
Real-Time Log Aggregation System
- This project centralizes logs from microservices across multiple servers in real time. Using Apache Kafka for ingestion and ELK Stack for visualization, it ensures scalable log management. It built connectors to parse logs from different formats. The platform supports live troubleshooting and performance monitoring. It reduced system outage resolution time by 40%.
IoT Sensor Data Lake
- A robust data lake architecture was developed to ingest sensor data from industrial IoT devices. AWS Kinesis, S3, and Glue form the pipeline, enabling structured and semi-structured data storage. Data is processed and enriched for downstream analytics. The system supports compliance and predictive maintenance efforts. It handles over 5 TB of new data weekly.
Financial Data Warehouse for Retail Chain
- Designed a data warehouse integrating POS, inventory, and vendor transactions for a retail brand. ETL workflows in Snowflake power BI dashboards for finance teams. The system includes currency conversion, reconciliation, and forecasting tools. Data refreshes daily with zero manual intervention. Financial reporting accuracy increased by 25% post-implementation.
Water Quality Monitoring System
- This aggregates sensor readings from water bodies for pollution tracking. Data includes pH, turbidity, and contamination levels, cleaned and stored in BigQuery. Dashboards provide insights for environmental agencies and alert thresholds are configurable. The system supports data-driven environmental policy and public safety. It also enables long-term trend analysis across geographies.
Cold Chain Temperature Monitoring
- This data integrates sensors from cold storage trucks and warehouses. It flags temperature excursions and generates SLA breach reports. Dashboards help logistics managers take corrective actions quickly. Data logs are retained for audit and compliance purposes. It significantly reduced spoilage and ensured pharma transport safety.
Customer 360 Profile Integration
- This integrates CRM, website activity, and support tickets into a single customer profile. ETL pipelines clean and join data from Salesforce, Google Analytics, and Zendesk. It creates a unified dashboard for account managers to better understand customers. Key metrics include customer health, engagement score, and churn risk. Results led to a 15% improvement in customer retention.
Agricultural Crop Yield Monitoring
- A pipeline for ingesting satellite imagery-derived crop indices and field survey data. Reports allow governments and agri-coops to assess crop performance across regions. Time-series analysis tracks yield variability due to weather or farming inputs. The dashboard supports subsidy distribution and policy planning. It empowers transparency in crop estimation reporting.