Building scalable cloud data platforms using Snowflake, HVR, Fivetran, AWS, Informatica IICS and Power BI. Focused on CDC, ELT automation, Snowflake cost optimization and real-time analytics.
Production Projects
Snowflake Concepts
SQL Queries
Graduate
A clean recruiter-friendly view of how I move data from operational systems into Snowflake and make it analytics-ready.
Source Database
Log-Based Replication
Cloud Data Warehouse
Live Dashboard
Every project is designed like a real data engineering workflow, not a basic student demo.
Built a replication workflow focused on moving operational data into Snowflake using HVR-style CDC and preparing it for analytics dashboards.
End-to-end ELT pipeline using RAW, STAGING and ANALYTICS layers with star schema modeling and live DirectQuery reporting.
Multi-source ELT pipeline combining relational and file-based data, modeled into fact and dimension views inside Snowflake.
Hands-on concepts I practiced through labs, projects, SQL exercises and LinkedIn learning posts.
Recovery, retention, dropped objects and fail-safe basics.
CDC tracking and scheduled automation pipelines.
Roles, privileges, ownership and secure access design.
Secure sharing, inbound/outbound shares and marketplace basics.
Query profile, pruning, clustering and performance analysis.
Warehouse sizing, auto-suspend and resource monitors.
External stages, S3 integration and auto-ingest concepts.
Target lag, refresh behavior and transformation pipelines.
SQL
Snowflake
AWS
Fivetran
Power BI
IICS
HVR
Open to fresher / trainee roles: Snowflake Developer, Data Engineer, ETL Developer and Cloud Data Engineer.