Analytics InfrastructureRole: Analytics Engineer2023
Apache Superset Analytics Deployment
Cloud analytics and business intelligence infrastructure deployed on AWS for centralized stakeholder reporting across platforms.
Apache SupersetAWSPythonSQLMongoDB
At a Glance
Role & Scope
Analytics Engineer — BI deployment, data feeds & dashboards
Core Stack
Apache Superset, AWS, Python, SQL, MongoDB
Project Type
Cloud Analytics & BI Infrastructure
Active Portals
analytics.khaatapos.com and analytics.rangsilk.com
01
Overview
This infrastructure project delivered dedicated Apache Superset business intelligence deployments on AWS cloud infrastructure. Configured specifically for platforms including KhaataPOS (analytics.khaatapos.com) and RangSilk (analytics.rangsilk.com), it provides centralized, self-service dashboard environments for monitoring operational metrics, transaction trends, and key business KPIs.
05
What I Worked On
- Deployed and configured Apache Superset business intelligence instances on AWS cloud infrastructure.
- Connected operational data sources to Superset, enabling secure analytical querying.
- Built automated Python extraction and transformation scripts to clean and aggregate transactional data for dashboard consumption.
- Configured dedicated analytics environments on subdomains (analytics.khaatapos.com and analytics.rangsilk.com) for clean stakeholder access.
- Built interactive charts and KPI dashboards tracking order volumes, activity trends, and operational metrics.
- Established scheduled data refresh routines to keep business reporting metrics up to date.
08
Key Takeaways
- Demonstrates deep practical knowledge of BI infrastructure deployment and database connectivity.
- Showcases ability to bridge backend data stores with user-friendly visualization platforms.
- Experience setting up multi-domain analytics infrastructure serving real-world commercial platforms.
10