Data Engineering Leader specializing in cloud-native data architectures that drive measurable business outcomes. Proven track record of designing and deploying enterprise-scale ELT/ETL pipelines that process 100M+ records, reduce operational costs by 40%, and accelerate time-to-insight for executive decision-making.
| 🏢 TEAMS LED Collaborated with 15+ engineers, analysts, and stakeholders |
💰 COST OPTIMIZATION Warehouse cost reduction through performance tuning |
📈 DATA SCALE Customer records consolidated and unified |
🚀 PRODUCTS SHIPPED Production data platforms and analytics solutions |
| ⚡ PERFORMANCE GAINS Query performance improvement via optimization |
🔄 PIPELINE UPTIME Reliability through automated orchestration |
📚 CAREER TRAJECTORY Associate → Engineer → Senior Engineer |
🎓 EDUCATION Data Science & Engineering foundations |
"Data engineering excellence is not just about building pipelines—it's about architecting strategic solutions that empower organizations to make data-driven decisions at scale. I lead by designing resilient, cost-effective systems while mentoring teams to embrace modern data practices and continuous innovation."
My approach centers on three pillars:
- 🎯 Strategic Alignment: Translating business requirements into scalable technical architectures
- ⚙️ Operational Excellence: Implementing governance, testing, and monitoring frameworks that ensure reliability
- 👥 Team Empowerment: Knowledge-sharing through documentation, code reviews, and hands-on mentorship
graph TB
A[Business Vision<br/>Revenue Analytics & Customer 360] --> B[Strategic Planning<br/>Multi-Region Architecture Design]
B --> C[Technical Leadership<br/>ELT Pipeline Development]
C --> D[Team Enablement<br/>DBT Best Practices & CI/CD]
D --> E[Operational Excellence<br/>Cost Governance & Performance]
E --> F[Business Impact<br/>Actionable Insights & ROI]
style A fill:#1e3a8a,stroke:#f8fafc,stroke-width:2px,color:#f8fafc
style B fill:#1e40af,stroke:#f8fafc,stroke-width:2px,color:#f8fafc
style C fill:#2563eb,stroke:#f8fafc,stroke-width:2px,color:#f8fafc
style D fill:#3b82f6,stroke:#f8fafc,stroke-width:2px,color:#f8fafc
style E fill:#60a5fa,stroke:#f8fafc,stroke-width:2px,color:#f8fafc
style F fill:#4ade80,stroke:#f8fafc,stroke-width:2px,color:#f8fafc
timeline
title Leadership Journey in Data Engineering
section Foundation
2019 : Associate Data Engineer
: Dess Technologies
: Built Customer 360 Platform
section Growth
2021 : Snowflake Data Engineer
: Tata Consultancy Services
: Led ELT Modernization
section Leadership
2023 : MS Data Science
: UMass Dartmouth
2025 : Data Engineer
: Emburse
: Revenue Analytics Lead
🏆 Led end-to-end revenue analytics platform transformation serving multi-region enterprise customers
Strategic Initiatives:
- 🎯 Multi-Region Data Consolidation: Architected cross-region data aggregation strategy consolidating 3 Snowflake regions, enabling precise usage metering and billing reconciliation for SaaS revenue operations
- 💰 Revenue Operations Enablement: Developed Python-based customer usage reporting system that automated billing reconciliation, reducing manual finance operations by 30 hours/month
- 🚀 Semantic Layer Implementation: Pioneered dbt Semantic Layer adoption defining reusable KPIs via Metrics package, accelerating analytics development velocity by 50%
- ⚡ Real-Time Metering: Implemented Snowflake Dynamic Tables for frequent meter updates, achieving near-real-time usage tracking for customer-facing dashboards
Technical Leadership:
- Designed Medallion architecture (Bronze/Silver/Gold) using dbt with incremental models and SCD Type 2 snapshots
- Orchestrated complex ELT workflows via Airflow (MWAA) integrating Fivetran ingestion from Billing Platform APIs
- Built lightweight Master Data Management tool using Streamlit for business user self-service data governance
Technologies: Fivetran, dbt, Snowflake, Airflow (MWAA), Python, Streamlit, Semantic Layer
🏆 Spearheaded enterprise data warehouse modernization delivering 40% cost savings
Strategic Initiatives:
- 💰 Cost Governance Leadership: Led Snowflake cost optimization initiative using Query Profiler analysis and dynamic warehouse management, achieving 40% reduction in compute spend (~$180K annual savings)
- 🎯 Single Source of Truth: Architected centralized financial and asset data platform consolidating 20+ disparate sources into governed Snowflake warehouse, eliminating data silos
- ⚡ Performance Engineering: Optimized query performance by 60% through strategic clustering key implementation and warehouse right-sizing
- 🔄 CI/CD Modernization: Implemented Git-based CI/CD pipelines for dbt deployments, reducing release cycles from weeks to days
Technical Leadership:
- Designed event-driven ingestion patterns using Snowpipe with S3 and Azure Blob Storage auto-ingest
- Built incremental ELT framework using Snowflake Streams & Tasks for real-time data processing
- Developed reusable dbt macro library with Jinja templating, accelerating team development velocity by 40%
- Integrated dbt testing framework with 95%+ test coverage ensuring data quality
Technologies: Fivetran, dbt, Snowflake, Snowpipe, S3, Azure Blob Storage, SQL, Jinja, Git
🏆 Designed Customer 360 platform processing 100M+ records and 5TB data
Strategic Initiatives:
- 🎯 Customer 360 Vision: Led design and implementation of unified customer data platform consolidating 10+ source systems, enabling enterprise-wide customer analytics
- 📊 Marketing Analytics Enablement: Integrated social media APIs into Snowflake supporting Marketing Mix Modeling, driving $2M+ in attributed campaign ROI
- ⚡ Scalability Engineering: Built incremental dbt models processing 5TB of customer data with 99.9% pipeline reliability
- 🔄 Orchestration Framework: Designed Apache Airflow DAGs automating ETL workflows, reducing manual data operations by 80%
Technical Leadership:
- Optimized Snowflake query performance using clustering keys and dynamic warehouse scaling
- Developed aggregated data models supporting executive spend analysis dashboards
- Implemented Python Snowflake connectors for automated data quality monitoring
Technologies: Snowflake, dbt, Fivetran, Apache Airflow, Python
mindmap
root((Shashank<br/>Thimmegowda))
Data Engineering
ETL/ELT Design
Pipeline Orchestration
Data Modeling
Performance Tuning
Cloud Platforms
Snowflake Architecture
AWS S3 & Services
Azure Blob Storage
Multi Region Strategy
Development
Python
SQL
dbt
Jinja Macros
Governance
Data Quality Testing
Cost Optimization
SCD Tracking
Master Data Management
Orchestration
Apache Airflow
Fivetran
Snowpipe
Dynamic Tables
Analytics
Semantic Layer
Streamlit Apps
KPI Development
Business Intelligence
Business Value: AI-powered conversational analytics interface enabling executives to query dbt Semantic Layer using natural language
Strategic Impact:
- Democratized data access for non-technical stakeholders through chat interface
- Reduced time-to-insight from hours to seconds via LLM-orchestrated queries
- Integrated Snowflake Cortex COMPLETE functions with dbt's Model Context Protocol (MCP)
Architecture Highlights:
- Streamlit in Snowflake (SiS) application leveraging Cortex LLM capabilities
- MCP server integration for semantic layer metadata (metrics, dimensions, entities)
- Multi-tool orchestration enabling complex analytical workflows via natural language
Technologies: Streamlit, Snowflake Cortex, dbt Semantic Layer, Python, MCP Protocol
Business Value: Production-grade sales analytics pipeline delivering real-time profit insights across locations, customers, and products
Strategic Impact:
- Enabled executive dashboards with live Snowflake-Tableau connection for real-time KPI tracking
- Implemented star schema design optimizing query performance for OLAP workloads
- Automated CI/CD via GitHub Actions ensuring continuous data quality
Architecture Highlights: