Santhosh Vanama

Background

About Santhosh Vanama

Results-driven Data Architect | Solution Architect | Data Engineer with 14+ years of experience in data engineering, cloud data architecture, and enterprise analytics. Proven ability to design, implement, and optimize scalable, high-performance data solutions, ensuring efficiency, security, and business intelligence excellence. • Cloud Data Warehousing & Migration: Led large-scale ETL workload migrations to Snowflake, Amazon Redshift, and Azure Synapse, achieving 40% cost savings and 2x faster data refresh rates. Designed highly efficient, cost-optimized data platforms for real-time analytics and enterprise reporting. • Database Management & Performance Optimization: Extensive experience with SQL Server, Oracle, MySQL, and PostgreSQL in designing robust data models and optimizing queries. Enhanced query performance by 40%, leveraging clustering strategies, materialized views, and query pruning, reducing report generation time from minutes to seconds. • ETL/ELT & Data Pipelines: Automated data ingestion workflows from AWS S3 to Snowflake using Fivetran, increasing efficiency by 60% and eliminating manual steps. Expertise in Azure Data Factory, Databricks, and SSIS, developing scalable, automated ETL/ELT pipelines for structured and semi-structured data. • Business Intelligence & Analytics: Integrated Power BI, Tableau, and SSRS to create real-time, interactive dashboards, improving data refresh speeds by 3x and enhancing business decision-making. • Cloud & Cost Optimization: Implemented Python and SnowSQL automation for dynamic warehouse scaling, reducing cloud computing costs by 25% while maintaining peak performance. Ensured GDPR and HIPAA compliance through RBAC and dynamic data masking in Snowflake. • Solution Architecture & Leadership: Spearheaded real-time data processing with Snowpipe, efficiently handling 5TB+ of daily streaming data with 99.9% accuracy and near-zero latency. Skilled in leading cross-functional teams, defining cloud data strategies, and driving enterprise-wide data transformations. A trusted advisor in data engineering, architecture, and cloud modernization, with a passion for solving complex data challenges, driving automation, and optimizing data-driven decision-making. Key Technologies: • Data Warehouses: Amazon Redshift, Snowflake, Azure Synapse • Databases: SQL Server, Oracle, MySQL, PostgreSQL • ETL/ELT: Azure Data Factory, Databricks, SSIS • Visualization: Power BI, Tableau, SSRS • Cloud Platforms: Azure, AWS