Lead Data Engineer
Azure | Snowflake | Databricks
9+ years of experience building secure, scalable, and optimized data solutions across cloud and on-prem platforms.
About Me
I'm a passionate Lead Data Engineer with over 9 years of experience in designing and implementing robust data solutions. My expertise spans across cloud platforms like Azure, Snowflake, and Databricks, where I've successfully delivered scalable data architectures for enterprise clients.
Throughout my career, I've specialized in building end-to-end data pipelines, optimizing query performance, and implementing data governance frameworks. I'm particularly passionate about leveraging cutting-edge technologies to solve complex data challenges and drive business insights.
When I'm not architecting data solutions, you'll find me exploring new technologies, contributing to open-source projects, or sharing knowledge through technical blogs and community presentations.
Data Architecture
Building scalable solutions
Technical Skills
Expertise across the modern data stack with deep knowledge in cloud platforms and big data technologies.
Azure Data Factory
Snowflake
Databricks
PySpark
SQL Server
Power BI
Professional Experience
A journey through leading data engineering roles across diverse industries and technologies.
Lead Data Engineer
TechCorp Solutions
Leading a team of 8 data engineers in designing and implementing enterprise-scale data solutions on Azure cloud platform.
- Reduced data processing time by 60% through Snowflake optimization
- Implemented real-time streaming pipelines processing 10TB+ daily
- Established data governance framework across 15+ business units
Senior Data Engineer
DataFlow Inc
Architected and developed scalable ETL pipelines using Azure Data Factory and Databricks for Fortune 500 clients.
- Built automated data quality monitoring system
- Migrated legacy on-premise systems to cloud architecture
- Improved data pipeline reliability to 99.9% uptime
Data Engineer
Analytics Pro
Developed and maintained data warehouses and reporting solutions using SQL Server and Power BI.
- Created automated reporting dashboards for C-level executives
- Optimized database performance reducing query times by 40%
- Implemented data backup and disaster recovery procedures
Featured Projects
Showcasing innovative data engineering solutions that drive business value and technical excellence.
Real-time Analytics Platform
Built a comprehensive real-time analytics platform using Azure Event Hubs, Databricks, and Power BI for processing 50M+ events daily.
Data Lake Migration
Led the migration of legacy data warehouse to modern data lake architecture on Azure, reducing costs by 40% while improving performance.
ML Pipeline Automation
Developed automated ML pipeline using Databricks MLflow for model training, validation, and deployment with 95% accuracy improvement.
Latest Blog Posts
Insights and tutorials on data engineering, cloud technologies, and best practices.
Optimizing Snowflake Performance for Large-Scale Data Processing
Learn advanced techniques for optimizing Snowflake warehouses, including clustering keys, materialized views, and query optimization strategies.
Building Scalable Data Pipelines with Azure Data Factory
A deep dive into creating robust, scalable data pipelines using Azure Data Factory, including best practices and common pitfalls.
Get In Touch
Ready to discuss your next data engineering project? Let's connect and explore how we can work together.
Let's Start a Conversation
sugandh@example.com
linkedin.com/in/sugandh-agarwal
Location
Available for remote work worldwide